In recent years, various computational models have been developed for studying the dynamics of belief formation in a population of epistemically interacting agents that try to determine the numerical value of a given parameter. Whereas in those models, agents’ belief states consist of single numerical beliefs, the present paper describes a model that equips agents with richer belief states containing many beliefs that, moreover, are logically interconnected. Correspondingly, the truth the agents are after is a theory (a set of sentences (...) of a given language) rather than a numerical value. The agents epistemically interact with each other and also receive evidence in varying degrees of informativeness about the truth. We use computer simulations to study how fast and accurately such populations as wholes are able to approach the truth under differing combinations of settings of the key parameters of the model, such as the degree of informativeness of the evidence and the weight the agents give to the evidence. (shrink)

Hegselmann and Krause have developed a simple yet powerful computational model for studying the opinion dynamics in societies of epistemically interacting truth-seeking agents. We present various extensions of this model and show their relevance to the investigation of socio-epistemic questions, with an emphasis on normative questions.

Constructivism is the idea that we construct our own world rather than it being determined by an outside reality. Its most consistent form, Radical Constructivism (RC), claims that we cannot transcend our experiences. Thus it doesn't make sense to say that our constructions gradually approach the structure of an external reality. The mind is necessarily an epistemological solipsist, in contrast to being an ontological solipsist who maintains that this is all there is, namely a single mind within which the only (...) world exists. RC recognizes the impossibility of the claim that the world does not exist. Yet, RC has the potential to go much further. I claim that RC provides the foundation of a new world-view in which we can overcome hard scientific problems. Thus, the paper is urging us to carry RC further, not just on philosophical grounds, but also into the domain of science. (shrink)

Context: The enactive approach to cognition affirms the relevance of the study of lived experience within cognitive science. Problem: Taking experience as the phenomenon of investigation, while at ….

This volume argues in favor of rethinking basic issues in cognitive science in the context of recent developments.

In this paper I provide an epistemological context for Artificial Life projects. Later on, the insights which such projects will exhibit may be used as a general direction for further Artificial Life implementations. The purpose of such a model is to demonstrate by way of simulation how higher cognitive structures may emerge from building invariants by simple sensorimotor beings. By using the bottom-up methodology of Artificial Life, it is hoped to overcome problems that arise from dealing with complex systems, such (...) as the phenomenon of cognition. The research will lead to both epistemological and technical implications. The proposed ALife model is intended to point out the usefulness of an interdisciplinary approach including methodological approaches from disciplines such as Artificial Intelligence, Cognitive Science, Theoretical Biology, and Artificial Life. I try to put them in one single context. The epistemological background which is necessary for this purpose comes from the ideas developed in both epistemological and psychological Constructivism. The model differs from other ALife approaches— and is somewhat radical in this sense—as it tries to start on the lowest possible level, i.e. avoids several a priori assumptions and anthropocentric ascriptions. Due to this characterization, the project may be alternatively viewed as testing the complementary relationship between epistemology and methodology. (shrink)

The Evolution of Complexity is addressed to a broad audience of academics and researchers from different disciplines, who are interested in the picture of our world emerging from the new sciences of complexity. This book reviews the new concepts proposed by the diverse theories of evolution, self-organisation, general systems, cybernetics, and the `complex adaptive systems' approach pioneered by the Santa Fe institute. The thread which holds everything together is the growth of complexity during the history of the universe: from elementary (...) particles, via atoms, molecules, living cells, multicellular organisms, plants, and animals to human beings, and societies. The different sections of the book discuss the foundations and philosophy of complexity evolution, its mathematical and computer models, its explanation of self-organising and living systems, the insights it provides into the origin of mind, language and culture, and its practical applications in areas such as management and system design. (shrink)

I ponder what the rapid progress of AI means for education in the 21st century. Is it feasible to expect embodied autonomous tools that, through participatory sense-making, can construct knowledge ready to be taught to students?

Context: Maturana’s lifework is extensive, and consists of a coherent network of interlinked ideas the consequences of which have not been fully explored. Problem: What does it take to understand Maturana’s work? Is “learning” Maturana as arduous as learning a completely different language, or is there sufficient value in learning selected elements of his network of ideas? Method: We discuss these fundamental questions and relate them to aspects of understanding, word meaning and the scientific method. Results: While getting only partially (...) familiar with Maturana can have its merits in certain contexts, there is a clear danger of trying to understand Maturana on the basis of words such as autopoiesis, consciousness, cognition, and science. Implications: We identify three directions in which Maturana’s ideas can be further explored: preparing social media videos, finding ever new domains of application, and their historical-conceptual relativization. (shrink)

Context: Humberto Maturana has generated a coherent and extensive explicatory matrix that encompasses his research in neurophysiology, cognition, language, emotion, and love. Purpose: Can we formulate a map of Maturana’s work in a manner that is consistent with the systemic matrix it represents and that serves as an aid for understanding Maturana’s philosophy without reifying its representation? Method: Our arguments are based on experience gained from teaching and presentations. Results: We present a map that that represents Maturana’s main contributions as (...) clusters of notions clustered according to how we see them to be related to each other as a projection of a matrix of ideas onto a two-dimensional space. We claim that there are many paths through these clusters of ideas. Though ideas relevant to individuals are obtained from various partial perspectives, a deep understanding of any element is dependent on an understanding of the whole matrix. Furthermore, we summarize the contributions to this special issue on Maturana. (shrink)

Context: By proposing to regard objects as “tokens for eigenbehavior,” von Foerster’s seminal paper opposes the intuitive subject-object dualism of traditional philosophy, which considers objects to be instances of an external world Problem: We argue that this proposal has two implications, one for epistemology and one for the demarcation between the natural sciences and the humanities. Method: Our arguments are based on insights gained in computational models and from reviewing the contributions to this special issue. Results: Epistemologically, von Foerster’s proposal (...) suggests that what is called “reality” could be seen as an ensemble of eigenforms generated by the eigenbehavior that arises in the interaction of multiple dynamics. Regarding science, the contributions to this special issue demonstrate that the concept of eigenbehavior can be applied to a variety of disciplines from the formal and natural sciences to the humanities. Its universal applicability provides a strong argument for transdisciplinarity, and its emphasis on the observer points in the direction of an observer-inclusive science. Implications: Thinking in eigenbehavior may not only have implications for tearing down the barriers between sciences and humanities, a better understanding of eigenbehaviors may also have profound effects on our understanding of ourselves. This also opens the way to innovative behavior design/modification technologies. (shrink)

Context: Despite many obvious advantages (radical) constructivism has over other philosophies it has failed to become a mainstream philosophy that is widely taught and discussed. Problem: What are the reasons for this failure? Can we identify issues that make it difficult for scholars to accept and even embrace radical constructivist ideas? What is the best way to characterize, explain, and eventually refute objections? Method: By collecting articles from both proponents and opponents of radical constructivism the editors of the special issue (...) tried to present a range of answers to these questions. Results: Some problems are due to known objections to radical constructivism, in particular the idea that being responsible for one’s own constructions opens doors to a “whatever” attitude. Another important insight is that constructivism seems to resemble a river delta with ever branching new sub-disciplines that become increasingly incompatible with each other. Implications: The insights gained from the contributions may lead to a re-orientation of (radical) constructivism that will include less misunderstandings among its critics and to a higher acceptance in the academic community. (shrink)

In the past three decades, the work of Varela has had an enormous impact on current developments in contemporary science. Problem: Varela’s thought was extremely complex and multifaceted, and while some aspects - notably his contributions to the autopoietic theory of living and enactivist approach to cognition - have gained widespread acclaim, others have been ignored or watered down. Method: We identify three dimensions of Varela’s thought: anti-realism of the “middle way”; anti-foundationalism of the circular/recursive onto-epistemology; and ethical/social implications of (...) the circularity/recursivity. The discussion of these dimensions is followed by a concise overview of the individual target articles in this issue and the topics they cover. Finally, we discuss in what ways the articles extend and relate to Varela’s work. We do this by means of a concrete example: the relation between “enaction” and “enactivism. Results: We show that the ignoring-cum-watering-down process of Varela’s contributions to science is at least partly linked to the three dimensions of Varela’s thought. Based on our examination we also find that the more narrow research topics are always interrelated with broader philosophical reflection. Researching into ignored and watered-down aspects of Varela’s work enables us to not only gain fresh insights into Varela’s overall philosophy and rekindle interest in the topics and themes that have been brushed aside, but also cast a fresh light on those that are currently in full bloom. Implications: Reviving interest in Varela’s work in toto could lead to fruitful research and discussion in numerous scientific fields. To illustrate this idea, we delineate, tentatively, three domains - theoretical, empirical, and existential - where Varela’s contribution to philosophy and science could instigate prolific exchange of views. Constructivist content: All three dimensions of Varela’s philosophy have strong affinities with radical constructivist critique of realism and some of its epistemological and ethical implications. (shrink)