cagent:cagentuffmm
Dies ist eine alte Version des Dokuments!
Chronological arrangement of the texts from the blog 'uffmm.org'
(Latest entry at the bottom of the page)
- ACTOR-ACTOR INTERACTION. Philosophy of the Actor This is just a 'header' to a larger text …
- From HCI to AAI. Some Bits of History Here you can download a 16-page document
- AASE – Actor-Actor Systems Engineering. Theory & Applications. Micro-Edition (Vers.9) Here you can download a 24-page document with the authors Gerd Doeben-Henisch and Louwrence Erasmus and Zeynep Tuncer
- ACTOR-ACTOR INTERACTION [AAI] WITHIN A SYSTEMS ENGINEERING PROCESS (SEP). An Actor Centered Approach to Problem Solving This page offers a list of 17 Updates of the document for AAI.
- DAAI V4 FRONTPAGE This more recent page represents the front page for all sections of the new DAAI theory (with downloads as PDFs. The final PDF contains 63 pages). Here you can find some information to the history of this text and much more.
- THE BETTER WORLD PROJECT IDEA A nice idea how to improve societies by improving the planning mode …
- BACKGROUND INFORMATION 19.Dec.2018: The e-Politics Project Together with colleagues I have started at my university an interdisciplinary project where the AAI paradigm is applied to the topic of ‘communal planning using e-gaming’.
- BACKGROUND INFORMATION 27.Dec.2018: The AAI-paradigm and Quantum Logic. Basic Concepts. Part 1 This text deals with basic ideas of probability theory
- BACKGROUND INFORMATION 27.Dec.2018: The AAI-paradigm and Quantum Logic. The Limits of Classic Probability (Part 2) An analysis of the classical probability theory shows that the empirical application of this theory is limited to static sets of events and probabilities. In the case of biological systems which are adaptive with regard to structure and cognition this does not work. This yields the question whether a quantum probability theory approach does work or not.
- SIMPLE PROGRAMMING ENVIRONMENT WITH PYTHON-SPYDER This is only practical stuff …
- QUANTUM THEORY (QT). BASIC PROPERTIES (Part 3) This is a continuation from the post BACKGROUND INFORMATION 27.Dec.2018: The AAI-paradigm and Quantum Logic. The Limits of Classic Probability. The general topic here is the analysis of properties of human behavior, actually narrowed down to the statistical properties. From the different possible theories applicable to statistical properties of behavior one is called CPT (classical probability theory), see the before mentioned post, and the other QLPT (quantum logic probability theory), which will be discussed now.!!!
- WHY QT FOR AAI? (Part 4) Quantum Theory and the AAI paradigm
- QUANTUM THEORY (QT). Basic elements (Part 5) This documentcontinues the possible role of QT following the book R.B. Griffiths. Consistent Quantum Theory. Cambridge University Press, New York, 2003
- Python Program Example: Simple Population Simulation Some mopre practical stuff
- LIBRARIES AS ACTORS. WHAT ABOUT THE CITIZENS? The role of libraries in cities for people
- HMI Analysis for the CM:MI paradigm. Part 1 This is an overview about several documents of the author related to the topic of Collective Intelligence to Human Interaction. Somehow this is the first text of the author explicitly dealing with this concept: Although we know, that groups of many people are ‘in principal’ capable of sharing intelligence to define problems, visions, constructing solutions, testing the solutions etc., we know too, that the practical limits of the brains and the communication are quite narrow. For special tasks a computer can be much, much better. Thus the CM:MI paradigm provides an environment for groups of people to do the shared planning and testing in a new way, only using normal language. Thus the software is designed to enable new kinds of shared knowledge about shared common modes of future worlds. Only with such a truly general framework the vision of a sustainable society as pointed out by the United Nations since 1992 can become real.
- Co-Learning with python 3 This page gives an overview about many python3-experiments. The main object ive is described here: The context of this small initiative ist the Distributed-Actor-Actor Interaction (DAAI) paradigm described in this blog. For this AAI paradigm one will need an assisting software to manage real problems with real people. In principle this software can be realized by every kind of programming language. Which one will be used for the planned overall software service will be decided by those groups, which will do the final job. But for the development of the ideas, for an open learning process, we will use here the programming language python 3. To get a first understanding of the main programming languages and the special advantages and disadvantages of python 3 compared to python 2 and to other important languages see the short overview here 2019-03-18 in apenwarr or chapters 1-2 from the excellent book by Lutz mentioned below.
- THE BIG PICTURE: HCI – HMI – AAI in History – Engineering – Society – Philosophy The context for this text is the whole block dedicated to the AAI (Actor-Actor Interaction) paradigm. The aim of this text is to give the big picture of all dimensions and components of this subject as it shows up during April 2019.
- ENGINEERING AND SOCIETY: The Role of Preferences Vision: This suggests that a symbiosis between creative humans and computing algorithms is an attractive pairing. For this we have to re-invent our official learning processes in schools and universities to train the next generation of humans in a more inspired and creative usage of algorithms in a game-like learning processes.
- ACI – TWO DIFFERENT READINGS … HCI – HMI – AAI =⇒ ACI ? Who has followed the discussion in this blog remembers several different phases in the conceptual frameworks used here.
- DAAI V4 FRONTPAGE !!!!!
- DIGITAL SLAVERY OR DIGITAL EMPOWERMENT? n the following text the focus is on the global environment for the AAI approach, the cooperation and/ or competition between societies and the strong impact induced by the new digital technologies. …I transform into one confrontation only: Digital Slavery vs. Digital Empowerment.
- STARTING WITH PYTHON 3 – The very beginning The idea is to give some advice to start with python 3 programming. In other posts I have used an integrated package using WinPython including the integrated development package spyder. While such an integrated package offers lots of nice tools it hides the basic structures of your system and of the language. Therefore I decided to start again at a more basic level using only the python language and the windows command shell (I myself are working with an ubuntu system for the normal python programming and for the work with a python web-framework called ‘django’). Because I myself am not too much experienced with the windows 10 environment it challenges me to investigate the win10 environment to some degree.
- STARTING WITH PYTHON3 – The very beginning – V2 This is an update of the post ‘STARTING WITH PYTHON3 – The very beginning‘ from July-1, 2019. The original version was not ‘wrong’, but it seems, after a few days later, one can and should improve it. The main motivation for this new version is my experience as a linux programmer working with windows 10: learning by doing I detected a litle more radical approach to begin python programming with win10. This post is part of the overall topic ‘Co-Learning with python 3‘.
- PHILOSOPHY LAB !!!
- STARTING WITH PYTHON3 – The very beginning – part 4 After a first clearing of the environment for python programming we have started with the structure of the python programming language, and in this section will deal with the object type string(s).
- STARTING WITH PYTHON3 – The very beginning – part 6 Meanwhile I am beginning to combine elements of the python language with some applied ideas (in the last section the idea of cognitive entropy illustrated with the equalization of strings). In this section I address the idea of a simple 2-dimensional virtual world, how to represent it with python. In later sections I will use this virtual worlds for some ideas of internal representations and some kinds of learning in an artificial actor.
- STARTING WITH PYTHON3 – The very beginning – part 8 In this part 8 I am focusing on the dynamic part of the virtual world. Which kind of changes are possible and how they can be managed?
- STARTING WITH PYTHON3 – The very beginning – part 10: Using git Because the overall project now has started a first simple server and a github system using ‘gitea’ with the URL ‘https://gitea.komega.dev’ I will give here a short introduction into the usage of git/ github both on ubuntu 18.0.4 as well as Windows 10. For me this is a new approach because I started years ago with the cvs version control system. Thus let us detect how this works …. Ok, so far with first steps with the git system. It works nearly identical on both systems ubuntu as well as win10. Clearly there are many, many more options to use. I will use this system from now on to built up step wise our first demonstrator for our initiative called smart citizens for smart democracies (sc4sd), an application of the AAI theory described in this blog.
- CASE STUDIES In this section several case studies will be presented. It will be shown, how the DAAI paradigm can be applied to many different contexts . Since the original version of the DAAI-Theory in Jan 18, 2020 the concept has been further developed centering around the concept of a Collective Man-Machine Intelligence [CM:MI] to address now any kinds of experts for any kind of simulation-based development, testing and gaming. Additionally the concept now can be associated with any kind of embedded algorithmic intelligence [EAI] (different to the mainstream concept ‘artificial intelligence’). The new concept can be used with every normal language; no need for any special programming language!
- EU Trustworthy AI Ethics and Different Comments With a PDF as download
- REVIEW OF MASLOW (1966) The Psychology of Science In this review I discuss the ideas of the book The Psychology of Science (1966) from A.Maslow. His book is in a certain sense outstanding because the point of view is in one respect inspired by an artificial borderline between the mainstream-view of empirical science and the mainstream-view of psychotherapy. In another respect the book discusses a possible integrated view of empirical science with psychotherapy as an integral part. The point of view of the reviewer is the new paradigm of a Generative Cultural Anthropology[GCA]. Part I of this review gives a summary of the content of the book as understood by the reviewer and part II reports some considerations reflecting the relationship of the point of view of Maslow and the point of view of GCA.
- CASE STUDY – SIMULATION GAMES – PHASE 1 – Iterative Development of a Dynamic World Model !!! To work within the Generative Cultural Anthropology [GCA] Theory one needs a practical tool which allows the construction of dynamic world models, the storage of these models, their usage within a simulation game environment together with an evaluation tool. To prepare a simulation game within a Hybrid Simulation Game Environment [HSGE] one needs an iterative development process which is described below.
- The Observer-World Framework. Part of Case-Studies Phase 1 !!! To work within the Generative Cultural Anthropology [GCA] Theory one needs a practical tool which allows the construction of dynamic world models, the storage of these models, their usage within a simulation game environment together with an evaluation tool. Basic requirements for such a tool will be described here with the example called a Hybrid Simulation Game Environment [HSGE]. To prepare a simulation game one needs an iterative development process which follows some general assumptions. In this paper the subject of discussion is the observer-world-framework.
- KOMEGA REQUIREMENTS No.1. Basic Application Scenario Containing PFs: Before starting any kind of programming one has to consider, which application scenario is the context of the software and what are the detailed functional and non-functional requirements which have to be fulfilled to match the intended case.
- CASE STUDY 1. FROM DAAI to ACA. Transforming HMI into ACA (Applied Cultural Anthropology) The GCA paradigm has been derived from the formalized DAAI Distributed Actor-Actor Interaction theory, which in turn is a development based on the common HMI Human Machine Interaction paradigm reformulated within the Systems Engineering paradigm. The GCA is a very general and strong theory paradigm, but, saying this, it is for most people difficult to understand, because it is highly interdisciplinary, and it needs some formal technical skills, which are not too common. During the work in the last three months it became clear, that the original HMI and DAAI approach can also be understood as the case of something which one could call ACA Applied Cultural Anthropology as part of an GCA. The concept of ACA is more or less directly understandable for most people.
- Extended Concept for Meaning Based Inferences. Version 1 In the posts ’CASE STUDY SIMULATION GAMES - PHASE 1: Observer-World-Framework’ (16.July 2020)1 and later in the post ’The Simulator as a Learning Artificial Actor [LAA]. Version 1’ (23.August 2020)2 it has been pointed out that the concept of truth can sufficiently only be explained if it is embedded in the far more wider concept of meaning as part of a working everyday language L0. And this points back to the hearer-speaker of the language; until today only human persons are known to be capable to handle an everyday language sufficiently well. One consequence of this matter is the fact that questions of possible inferences from some given facts f ⊆ F to some possible other fact f ′ ⊆ F can not be disconnected from the facts themselves; the usage of expressions E of the used language – written as E ⊆ L0 – can not be explained without the relation to the learned meaning relation μ which has to be assumed as part of the inner cognitive structure of a speaker-hearer. This fact leads to an extended view of the inference from a given state – a set of facts assumed to be true – and some condition Φ which shall be decided to be satisfied by the state S.
- komega-v08a. First complete version with simulation A first minimal version of a simulator is working. Another solution in version komega-v07a was too bad and has been thrown in the ‘trash’ and now we have komega-v08a. You can get the real idea in a nucleus. Many things have to be improved and will be improved (not before End of October
). An important improvement was the inclusion of set theoretical data structures and operators. - KOMEGA REQUIREMENTS: Basic Version with optional on-demand Computations by the Computer Introducing a new general interface to transfer messages to the simulator as computer to compute explicitly some functions.
- From Men to Philosophy, to Empirical Sciences, to Real Systems. A Conceptual Network In daily life we experience today a multitude of perspectives in all areas. While our bodies are embedded in real world scenarios our minds are filled up with perceptions, emotions, ideas, memories of all kinds. What links us to each other is language. Language gives us the power to overcome the isolation of our individual brains located in individual bodies. And by this, our language, we can distribute and share the inner states of our brains, pictures of life as we see it. And it is this open web of expressions which spreads to the air, to the newspapers and books, to the data bases in which the different views of the world are manifested.
- KOMEGA REQUIREMENTS: Interactive Simulations Introducing the interactive mode of simulation besides the existing passive mode.
- KOMEGA REQUIREMENTS: Multi Group Management Introducing the management of multiple groups working with different projects in parallel.
- KOMEGA REQUIREMENTS: Start with a Political Program Applying the original P-V-Pref Document structure to real cases it became clear that the everyday logic behind the classification of facts into problems [P] or visions [V] follows a kind of logic hidden in the semantic space of the used expressions. This text explains this hidden logic and what this means for our application.
- OKSIMO SW – Minimal Basic Requirements In the long way of making the theory as well as the software [SW] more concrete we have reached January 5, 2021 a first published version on [www.]oksimo.com. This version contains a sub-part of the whole concept which I call here the Minimal Basic Version [MBV] of the osimo SW. This minimal basic will be tested until the end of february 2021. Then we will add stepwise all the other intended features.
- HMI Analysis for the CM:MI paradigm. Part 1 Since January 2021 an intense series of posts has been published how the new ideas manifested in the new software published in this journal can adequately be reflected in the DAAI theoretical framework. Because these ideas included in the beginning parts of philosophy, philosophy of science, philosophy of engineering, these posts have been first published in the German Blog of the author (cognitiveagent.org). This series of posts started with an online lecture for students of the University of Leipzig together with students of the ‘Hochschule für Technik, Wirtschaft und Kultur (HTWK)’ January 12, 2021. It follows a complete list of posts…
- HMI Analysis for the CM:MI paradigm. Part 2. Problem and Vision !!! This text condenses the view of a mankind on this planet, how to organize themselves in a genral way …
- HMI Analysis for the CM:MI paradigm. Part 3. Actor Story and Theories This text gives a complete oberview of the HMI-Process within the DAAI paradigm.
- HMI ANALYSIS, Part 4: Tool based Actor Story Development with Testing and Gaming In the preceding post it has been explained, how one can format an actor story [AS] as a theory in the format of an Evaluated Theory Tε with Algorithmic Intelligence: Tε,α=<M,∑,ε,α>. In the following text it will be explained which kinds of different scenarios will be possible to elaborate, to simulate, to test, and to enable gaming with an actor story theory by using the oksimo software tool.
- THE OKSIMO CASE as SUBJECT FOR PHILOSOPHY OF SCIENCE. Part 1 A lengthy text describing the oksimo software from a philosophical point of view. This text will be continued by more parts. It is quite unusual that software is analyzed from a philosophical point of view…
- OKSIMO MEETS POPPER. The Generalized Oksimo Theory Paradigm In the preceding sections it has been shown that the oksimo paradigm is principally fitting in the theory paradigm as it has been discussed by Popper. This is possible because some of the concepts used by Popper have been re-interpreted by re-analyzing the functioning of the symbolic dimension. All the requirements of Popper could be shown to work but now even in a more extended way.
- POPPER and EMPIRICAL THEORY. A conceptual Experiment !!! In a preceding post I have outline the concept of an empirical theory based on a text from Popper 1971. In his article Popper points to a minimal structure of what he is calling an empirical theory. A closer investigation of his texts reveals many questions which should be clarified for a more concrete application of his concept of an empirical theory. In this post it will be attempted to elaborate the concept of an empirical theory more concretely from a theoretical point of view as well as from an application point of view.
- OKSIMO APPLICATIONS – Simple Examples – Citizens of a County – Example 2 This post shows a continuation from the simple simulation example in the preceding post. It points to an implicit problem of the demographic modeling of the Main-Kinzig County (German: Main-Kinzig Kreis [MKK]) only using the official numbers available in the World Wide Web from the Hessian statistical office. Some questions arise without giving an answer in this post.
- THE OKSIMO WORKFLOW for a Global Open Knowledge Space In an earlier post the overall structure of the oksimo paradigm has been outlined. This was the perspective available during spring 2021. Since this time the theory, the software as well as the applications are evolving very quickly. A major event was the closer and closer conjunction of a general ’empirical everyday life theory’ [1] with the oksimo paradigm. The central idea is that an oksimo application is by its implicit structure a complete empirical theory in an everyday life setting. This growing clearness about the theoretical dimension of an oksimo application raises new questions how to organize an oksimo application.
- AN EMPIRICAL THEORY AS A DEVELOPMENT PROCESS In a preceding post I have illustrated how one can apply the concept of an empirical theory — highly inspired by Karl Popper — to an everyday problem given as a county and its demographic problem(s). In this post I like to develop this idea a little more.
- EMPIRICAL THEORY – (COLLECTIVE) INTELLIGENCE – INTELLIGENT MACHINES. An Introduction In an elderly post from 2017 I have developed the concept of ‘Intelligent Machines’ by using the paradigm of ‘Distributed Actor Actor Interactions‘ which includes the concept of an ‘Actor Story’. Meanwhile the DAAI paradigm has been ’embedded’ in the more general concept of an ‘Applied Empirical Theory’ [1], which can immediately being used as a ‘simulation’. The ‘content’ is the same, only the ‘format’ is different. But to use the concept of an ‘applied empirical theory’ in this dynamic way directly as a simulation needs a ‘tool’ which is a piece of software called ‘oksimo (reloaded)’ [2] which is located on a server (see: oksimo.com) which can be used via an interactive web-page.[3] This new format of an applied empirical theory [AET] is producing during simulation a process which can be understood as an inference chain. Doing all possible inference chains this produces a graph of processes, whose nodes are situations. This corresponds directly to the ‘actor story’ [AS] as a central part of the DAAI paradigm.
- SUSTAINABLE APPLIED EMPIRICAL THEORIES [SAET]. Basics In preceding papers about the concept of an Empirical Theory [ET], especially in the context of Karl Popper (e.g.Popper and Empirical Theory. A conceptual Experiment ) it has been investigated whether and how these concepts can be merged with the idea of a development process (e.g. An Empirical Theory as a Development Process ). Another aspect is the idea of ‘sustainable development’ as it has been characterized by the so-called Brundtland report [1] in 1987, which laid the ground for the United Nations Rio conference ‘Earth Summit’ in 1992 [2] which ended after several more UN conferences up in 2015 with the ‘Agenda 2030’ propagating 17 ‘Sustainable Development Goals’ (SDGs). [3] ‘Sustainability’ depends on the ability to make ‘qualified estimates about possible future states’. This again presupposes qualified knowledge about the ‘past’ and the ‘present’. Especially should this knowledge contain those kinds of ‘elaborated changes’ in the sequence of events which can be interpreted and used as ‘patterns of possible changes’ leading from one observed situation to another observable situation. Starting from here the following text communicates some more ideas.
- From SYSTEMS Engineering to THEORY Engineering !!!!! With a lengthy introduction in the the historry of the development of these ideas …
- COMMON SCIENCE as Sustainable Applied Empirical Theory, besides ENGINEERING, in a SOCIETY This text collects many Links to important papers but the original idea for the paper has not yet been realized …
- Sustainable empirical theory concept II According to the short characterization of the concept of an ’empirical theory II’ above we have to take into account the ‘theory producers’, their ‘environment’, and the ‘procedure’, how the theory producers are ‘building’ a ‘theory concept I’. This theory concept I requires (i) those expressions which represent the hypotheses; (ii) a logical inference concept which enables inferences (deductions); (iii) the inferred inferences as candidates for forecasts; (iv) an experimental procedure to test whether one can find measurements which ‘confirm’ or ‘weaken’ a forecast. If one accepts the idea of a population of brains which together have to find a ‘sustainable path’ into a ‘live-supporting future’ then the vision of a sustainable empirical theory can be reformatted as follows …
- Knowledge in a population While a ‘theory as such’ has no relationship to the the concepts ‘sustainability’ [24] or ‘sustainable development’ [25], there exists an increasing understanding of the central role of knowledge mediating all kinds of actions.(cf. [26]). This importance of knowledge is to some degree supported by the sustainable development goal 4 (SDG4).[27],[26]
- Side Trip to Wikipedia … What can we do with these ‘fragments’ of a large discourse around ‘science’, ‘theory’, and ‘knowledge’? …
- Ordinary Language Inference: Preserving and Creating Truth Because ordinary language is by construction the indispensable meta-language of every kind of a formal logical system it is clear that every kind of formal logic inference can be reproduced in ordinary language. …
- True Statements From the section about Boolean Logic we know, that there can be expressions called ‘statements’ which can be classified as being ‘true’ or ‘false’ without describing what ‘true’ or ‘false’ means. An ‘interpretation’ of a ‘possible meaning’ of the expressions ‘true’/’false’ is a property of the human actor dealing with these statements. We as human speakers ‘know’ by ‘experience’, that the classification of an expression as being ‘true’ or not depends from our ‘interpretation’ of the expression ‘A’ whereby the interpretation activates a ‘known meaning’ which can be related so some ‘assumed world of references’. Thus the usage of Boolean logic is a way of ‘short, condensed notation’ of a possible high complex ‘knowledge’ of the human actor using this notation. Without this assumed knowledge of the human user the notation makes no sense. …
- OKSIMO.R – EVERYDAY SCENES – GO OUT FOR EAT remasrk: The acronym 'oksimo.r' is short for 'oksimo-reloaded'; this is a hint for a programming language invented by the author called 'oksimo'. The Ä'oksimo.r' ist quirte different and uses only the name.
- chatGPT – How drunk do you have to be … Remarsk: At the time of the writing of this text I was focussing on the built-in limits of generative AI. Meanwhile I am working with the those features, which are a big support for those, who are dealing with complex scenarios and using the 'world knowledge' like a 'back ground knowledge noise' …
- GRAMMAR FOR SUSTAINABLE DEVELOPMENT. Sketch … The concept of sustainable development is considered here in the context of ‘biological populations’. Such populations are dynamic entities with many ‘complex properties’. For the analysis of the ‘sustainability’ of such populations, there is one aspect that seems ‘fundamental’ for a proper understanding. It is the aspect whether and how the members of a population – the actors – are interconnected or not. …
- LANGUAGE AND STRUCTURES !!! This text is an direct continuation of the text “The ‘inside’ of the ‘outside’. Basic Building Blocks”)
- Abstract Elements & Glimpses of an Ontology The abstract elements introduced so far are still few, but they already allow to delineate a certain ‘abstract space’. Thus there are so far …
- THE COLLECTIVE MAN-MACHINE INTELLIGENCE Paradigm WITHIN SUSTAINABLE DEVELOPMENT This text starts the topic of the Collective Man-Machine Intelligence Paradigm within Sustainable Development.
- THINKING: everyday – philosophical – empirical theoretical (sketch) … Some hitherto unanswered questions can possibly be answered better, but many new questions arise as well. When ‘old patterns of thinking’ are suspended, many (most? all?) of the hitherto familiar patterns of thinking have to be readjusted. All of a sudden they are simply ‘wrong’ or strongly ‘in need of repair’. …
- ABSTRACT MORAL IN A FINITE and CHANGING WORLD The meaning of and adherence to moral values in the context of everyday actions has always been a source of tension, debate, and tangible conflict. This text will briefly illuminate why this is so, and why it will probably never be different as long as we humans are the way we are.
- COLLECTIVE (man-machine) INTELLIGENCE and SUSTAINABILITY. An investigation … Because at the beginning of this writing the final outcome is open and the ‘way to reach the result’ is as such difficult, the author decided to make the research process directly the content of a process article. …
- ‘OPEN HEART SURGERY’? Following the basic considerations on the possibility/impossibility of a generally valid morality in this finite-dynamic world, a small look at the ‘phenomenon of life’ shall be suggested here, based on the currently popular concept of ‘sustainability’.
- INTELLIGENCE – BIOLOGICAL – NON-BIOLOGICAL – INDIVIDUAL – COLLECTIVE … We live in a time in which – if one takes different perspectives – very many different partial world views can be perceived, world views which are not easily ‘compatible’ with each other. Thus, so far, the ‘physical’ and the ‘biological’ worldviews do not necessarily seem to be ‘aligned’ with each other. In addition, there are different directions within each of these worldviews. Where do the social sciences stand here: Not physics, not biology, but then what? The economic sciences also seem to be ‘surfing across’ everything else … this list could easily be extended. Within these assemblies of worldviews, a new worldview emerges quite freshly, that of so-called ‘artificial intelligence’; it is also almost completely unmediated with everything else, but makes heavy use of terminology borrowed from psychology and biology, without adopting the usual conceptual contexts of these terms.
- Homo Sapiens: empirical and sustained-empirical theories, emotions, and machines. A sketch … My contribution to the topic tries to define the role of the so-called AI text generators by embedding the properties of ‘AI text generators’ in a ‘structural conceptual framework’ within a ‘transdisciplinary view’. This helps the specifics of scientific discourses to be highlighted. This can then result further in better ‘criteria for an extended assessment’ of AI text generators in their role for scientific discourses. …
- Collective human-machine intelligence and text generation. A transdisciplinary analysis. Based on the conference theme “AI – Text and Validity. How do AI text generators change scientific discourse?” as well as the special topic “Collective human-machine intelligence using the example of text generation”, the possible interaction relationship between text generators and a scientific discourse will be played out in a transdisciplinary analysis. For this purpose, the concept of scientific discourse will be specified on a case-by-case basis using the text types empirical theory as well as sustained empirical theory in such a way that the role of human and machine actors in these discourses can be sufficiently specified. The result shows a very clear limitation of current text generators compared to the requirements of scientific discourse. This leads to further fundamental analyses on the example of the dimension of time with the phenomenon of the qualitatively new as well as on the example of the foundations of decision-making to the problem of the inherent bias of the modern scientific disciplines. A solution to the inherent bias as well as the factual disconnectedness of the many individual disciplines is located in the form of a new service of transdisciplinary integration by re-activating the philosophy of science as a genuine part of philosophy. This leaves the question open whether a supervision of the individual sciences by philosophy could be a viable path? Finally, the borderline case of a world in which humans no longer have a human counterpart is pointed out.
- Pain does not replace the truth … … Truth is not automatic. Making truth available requires significantly more effort than remaining in a state of partial truth. The probability that a person knows the truth or seeks the truth is smaller than staying in a state of partial truth or outright falsehood….
- REVIEW: Keith E.Stanovich, Richard F.West, Maggie E.Toplak, “The Rational Quotient. Towards a Test of Rational Thinking”, MIT Press, 2016 In the last months I was engaged with the topic of text-generating algorithms and the possible impact for a scientific discourse (some first notices to this discussion you can find here (https://www.uffmm.org/2023/08/24/homo-sapiens-empirical-and-sustained-empirical-theories-emotions-and-machines-a-sketch/)). In this context it is important to clarify the role and structure of human actors as well as the concept of Intelligence. Meanwhile I have abandoned the word Intelligence completely because the inflationary use in today mainstream pulverises any meaning. Even in one discipline — like psychology — you can find many different concepts. In this context I have read the book of Stanovich et.al to have a prominent example of using the concept of intelligence, there combined with the concept of rationality, which is no less vague. …
- There exists only one big Problem for the Future of Human Mankind: The Belief in false Narratives !!!!! Triggered by several reasons I started some investigation in the phenomenon of ‘propaganda’ to sharpen my understanding. My strategy was first to try to characterize the phenomenon of ‘general communication’ in order to find some ‘harder criteria’ that would allow to characterize the concept of ‘propaganda’ to stand out against this general background in a somewhat comprehensible way. The realization of this goal then actually led to an ever more fundamental examination of our normal (human) communication, so that forms of propaganda become recognizable as ‘special cases’ of our communication. The worrying thing about this is that even so-called ‘normal communication’ contains numerous elements that can make it very difficult to recognize and pass on ‘truth’ (*). ‘Massive cases of propaganda’ therefore have their ‘home’ where we communicate with each other every day. So if we want to prevent propaganda, we have to start in everyday life….
- NARRATIVES RULE THE WORLD. Curse & blessing. Comments from @chatGPT4 … If someone has already decided in his head that there is no problem, he won’t see a problem … and if you see a problem where there is none, you have little chance of being able to solve anything. To put it simply: we can be the solution if we are not the problem ourselves …
- Reality Embedded in Virtuality It addresses the paradox that, although we constantly feel like we are navigating in a real world, the ‘contents of our brain’ are not the ‘real world’ itself. Instead, these contents are the product of numerous neural transformation processes that convert ‘stimuli from the real world’ into ‘internal states,’ which we then treat as if they were the real world. This ‘as if’ is not a matter of free choice, as this situation results from the way our brain functions within our body. Through our body and brain, we are initially ‘locked-in’ systems.
- EMPIRICALLY TRUE? If the structure of our human body (including its brain) is designed such that there is no direct, permanent one-to-one mapping of the real physical world outside the brain into the internal states of the body (including the brain), how can humans then make and use ’empirically true statements’ about something outside the body or outside the brain?
- Talking about the world A ‘text’ shall be written that speaks about the world, including all living beings, with ‘humans’ as the authors in the first instance. So far, we know of no cases where animals or plants write texts themselves: their view of life. We only know of humans who write from ‘their human perspective’ about life, animals, and plants. Much can be criticized about this approach. Upon further reflection, one might even realize that ‘humans writing about other humans and themselves’ is not so trivial either. Even humans writing ‘about themselves’ is prone to errors, can go completely ‘awry,’ can be entirely ‘wrong,’ which raises the question of what is ‘true’ or ‘false.’ Therefore, we should spend some thoughts on how we humans can talk about the world and ourselves in a way that gives us a chance not just to ‘fantasize,’ but to grasp something that is ‘real,’ something that describes what truly characterizes us as humans, as living beings, as inhabitants of this planet… but then the question pops up again, what is ‘real’? Are we caught in a cycle of questions with answers, where the answers themselves are again questions upon closer inspection?
- Verifiable Statements Speaking in everyday life entails that through our manner of speaking, we organize the perceptions of our environment, solely through our speech. This organization occurs through thinking, which manifests in speaking. As previously described, while the ability to speak is innate to us humans, the way we use our speech is not. In speaking, we automatically create an order, but whether this order actually corresponds to the realities of our everyday world requires additional verification. This verification, however, does not happen automatically; we must explicitly desire it and carry it out concretely.
- Changes … our everyday world is characterized by everything we know being capable of ‘changing,’ including ourselves, constantly, often unconsciously; it just happens. In the context of people trying to collectively create an understanding of the world, perhaps also attempting to ‘plan’ what should be done together to achieve the best possible living situation for as many as possible in the future, the phenomenon of ‘change’ presents an ambivalent challenge: if there were no change, there would be no future, only ‘present’; but with change occurring, it becomes difficult to ‘look into the future’. How can we know into what future state all these changes will lead us? Do we even have a chance?
- Humans and machines that can generate sound ince September 2015, I have been repeatedly trying—both theoretically and practically—to understand what sound art really is; what is sound? What does it do to us? One consideration led to another; between them were real experiments and live performances. There were also long periods of ‘standstill’…. At a sound art concert on June 11, 2024, at Mousonturm in Frankfurt, something clicked in my mind regarding a fundamental question, and suddenly the uniqueness of ‘collective human intelligence’ in confrontation with so-called ‘intelligent machines’ became somehow newly clearer to me.
- Blind’s World One (1995!) How can one philosophically conceive of artificial intelligence (AI) interacting with real people, an AI that learns real language with real meaning on its own? Prompted by an offer from Ars Electronica ’95 to introduce a philosophically inspired art project, I spent intense months with an ad hoc software team (the team was wonderful!) designing (and implemented by the software team) the interactive network version of a small artificial world based on philosophical considerations. In this world lived ‘blind Knowbots’ that could communicate with the outside world, using their other sensory experiences and basic bodily states as the basis for assigning meanings to their respective languages. Whatever language the users (mostly children!) used, they could link this language with their real-world experiences. This experiment has shaped me for many years, actually up to today.
- Collective Human Intelligence (CHI) The main theme of this section is ‘collective human intelligence (CHI)’. However, it does not occur in isolation, detached from everything else. Rather, life on Planet Earth creates a complex network of processes which — upon closer examination — reveal structures that are consistent across all forms of life in their basic parameters, yet differ in parts. It must also be considered that these basic structures, in their process form, always intertwine with other processes, interacting and influencing each other. Therefore, a description of these basic structures will initially be rather sketchy here, as the enormous variety of details can otherwise lead one quickly into the ‘thicket of particulars’.
- A ‘Logic of Life’? The excerpt discusses the concept of ‘collective human intelligence (CHI)’ and reflects on the foundational schema of all life : reproduction of Generation 1, birth of Generation 2, growth of Generation 2, followed by the onset of Generation 2’s behaviors accompanied by learning processes, and then reproduction of Generation 2, etc. It highlights how genetic predispositions and ‘free adapting’, commonly referred to as ‘learning’, alternate in phases. While genetic guidelines enable structures with typical functionalities that open up ‘possible action spaces’, filling these spaces is not genetically determined. This makes sense because the real ‘biological carrier system’ is not isolated but exists in an ‘open environment’ whose specific configuration and dynamics constantly change. From a ‘sustainable survival’ perspective, it is crucial that the biological carrier system has the ability to not only grasp the nuances of the environment at specific moments but also to represent, combine, and test them in the context of space and time. These simple words point to a highly complex process that has become known as ‘learning’, but the simplicity of this term may overlook the fact that we are dealing with an ‘evolutionary miracle of the highest order’. The common concept of ‘evolution’ is too limited in this perspective; it only describes a fragment.
- Automation of Human Tasks: Typology with Examples of ‘Writing Text’, ‘Calculating’, and ‘Planning’ In the broader spectrum of human activities, there are three ‘types’ of action patterns that are common in everyday life and crucial for shared communication and coordination: (i) writing texts, (ii) describing (calculating) quantitative relationships, and (iii) planning possible states in an assumed future. All three types have been present since the beginning of documented ‘cultural life’ of humans. The following attempts a rough typology along with known forms of implementation.
- Collective Knowledge: Generative AI in chatbot format as a helper … the term ‘collective knowledge’ represents a crucial keyword for a characteristic that deeply defines humans—the life form of ‘homo sapiens.’ For an individual, ‘collective knowledge’ is directly hardly perceivable, but without this collective knowledge, no single human would have any knowledge at all. Yes, this not only sounds like a paradox, it is a paradox. While a ‘contradiction’ between two different statements represents a factual incompatibility, a ‘paradox’ also conveys the impression of a ‘contradiction,’ but in fact, in terms of the matter, it is not an ‘incompatibility.’ The ‘knowledge of us individuals’ is real knowledge, but due to the finiteness of our bodies, our perception system, our memory, we can factually only gather a very small amount of knowledge ‘in us.’ However, the more people there are, the more ‘knowledge’ each person ‘produces’ daily—just analogously, or then also digitally—the greater grows the amount of knowledge that we humans ‘deposit’ in our world. Newspapers, books, libraries, databases can collect and sort this knowledge to a limited extent. But an individual can only find and ‘process’ small fractions of this ‘collected knowledge.’ The gap between the ‘available collected knowledge’ and the ‘individually processable knowledge’ is constantly growing. In such a situation, the availability of generative artificial intelligence in the format of chatbots (GAI-ChaBo) is almost an ‘evolutionary event’! This new technology does not solve all questions, but it can help the individual to ‘principally’ get a novel direct access to what we should call ‘collective knowledge of humanity.’
- Self-destruction is an option. Note We are still here on this planet. However, the fact that our ‘human system’ largely programs itself without our ‘voluntary participation’ can become our downfall within the framework of a democracy and in the age of the internet; not necessarily, but highly likely…
- ChatGPT4: How do you define the concept ’empirical theory’? At the end of the dialogue the inquirer stated: I agree with your conclusion. But this conclusion is not a sufficient answer to my question. Somehow you are stating, that it is a “significant challenge” without having a clear answer today. Is this right? @chatGPT4: Yes, that’s a fair assessment. Integrating different formalisms across various scientific disciplines remains a significant challenge and an area of ongoing research and development. While there are strategies and approaches that can aid in this integration, as mentioned earlier, there is no universally applicable solution that works seamlessly across all fields and for all types of problems.
- CHAT GPT4: What comes to your mind regarding the phrase ‘an empirically true text’? Running a dialogue with chatGPT4 to the question “What comes to your mind regarding the phrase ‘an empirically true text’?” the dialogue ends up with the following statement of @chatGPT4: “Your view that the ’empirically true text’ is essential is indeed valid, especially in the context of science. While dialogues and practical experiments are critical components of the research process, the resulting texts form the basis on which knowledge is formally shared, verified, and further developed. They are indispensable for creating a clear understanding and a reliable foundation for the continuation of research.”
- CHATGPT4 : PHILOSOPHY – What it is? Fundamental concepts : a new view @chatGPT4: Your insight blurs the traditional distinction between basic concepts and emergent properties by showing that in the process of developing a theory, what we ultimately recognize as basic concepts may indeed emerge from the complex interplay of ideas. This perspective aligns with the broader view of how knowledge is constructed and emphasizes the dynamic and evolving nature of conceptual frameworks. In this sense, the final framework of basic concepts in a theory could be seen as an emergent outcome of the theoretical development process.
- CHATGPT4 : PHILOSOPHY – What it is? Role of Humans writing Texts @chatGPT4: Philosophical texts themselves are important, but they gain their true significance within the human meaning space that individuals create through their interactions with these texts and with each other. This meaning space, rooted in the experiences and interpretations of individual persons, is what ultimately forms the building blocks of a unified philosophical tradition. The tradition is not a static collection of texts, but a dynamic, evolving process of meaning-making that is constantly being enriched and redefined by those who engage with it.
- CHATGPT4 – PHILOSOPHY : Digging into the Human Meaning Space Inquirer to chatGPT4: I will take the following short summary as bridge to the follow-up ideas : (1) Language expressions are composed of symbols wich are determined by rules and structures; (2) The inner states related to meaning are diverse and involve various cognitive, emotional, and sensory processes; (3) At the core are mental models that represent our understanding of the world. These models include abstract ideas, concrete objects, and complex scenarios. Furthermore the mind organizes concepts, emotions, sensory experiences, and language expressions into a network of associations. (4) Cognitive processes like inference and reasoning help us by connecting existing knowledge with knowledge about possible changes, to derive possible new states. Can you agree with this? @ChatGPT4: Yes, I agree with your summary. You’ve captured the essential points about how language expressions, inner states, mental models, and cognitive processes interact to create and understand meaning.
- CHATGPT4 – PHILOSOPHY : RECONSTRUCTING ‘BIOLOGICAL LIFE’ AS ‘CULTURE’. A somehow surprising dialogue The following Dialogue is an English translation from German (done with chatGPT4) and has its origin in the context of the interaction between the human species and the planet earth. During this dialogue starting with physical things the dialogue turned more and more into a true philosophical dialogue recognizing biological life as a ‘cultural system’. This was from the author not intended! It happend driven by … the ‘internal logic’ of life?
- CHATGPT4 – PHILOSOPHY : HOW WE SHOULD FREE DEMOCRACIES FROM INEFFICIENCY & IMPROVE THE DEMOCRATIC VALUES The Author: OK, I think we have detected a very interesting point of view to elaborate further the possible ‘fate of democracies’ in our dynamic world. I am planning the following steps how to proceed further: (1) I will post this dialogue so far in two of my main blogs … then (2) I will analyze a bit more how we could transform Democracies 1.0 (lacking the needed efficiency) to a kind of Democracies 2.0 with a new approach to improve efficiency significantly by keeping the key values of democracy not only alive but ‘improve these values’ instead. @chatGPT4o: That sounds like a great plan! Your vision of transforming Democracies 1.0 into Democracies 2.0 by addressing efficiency while preserving and even enhancing key democratic values is a promising direction. I’m excited to see how your analysis unfolds, and I’d be happy to assist with any further insights, ideas, or refinements as you continue exploring this transformation.
cagent/cagentuffmm.1726936337.txt.gz · Zuletzt geändert: 2024/09/21 18:32 von admin