New Ideas for Brain Modelling

This paper describes some biologically-inspired processes that could be used to build the sort of networks that we associate with the human brain. New to this paper, a 'refined' neuron will be proposed. This is a group of neurons that by joining together can produce a more analogue system, but with the same level of control and reliability that a binary neuron would have. With this new structure, it will be possible to think of an essentially binary system in terms of a more variable set of values. The paper also shows how recent research associated with the new model, can be combined with established theories, to produce a more complete picture. The propositions are largely in line with conventional thinking, but possibly with one or two more radical suggestions. An earlier cognitive model can be filled in with more specific details, based on the new research results, where the components appear to fit together almost seamlessly. The intention of the research has been to describe plausible 'mechanical' processes that can produce the appropriate brain structures and mechanisms, but that could be used without the magical 'intelligence' part that is still not fully understood. There are also some important updates from an earlier version of this paper

Neural Network Modeling of Sensory-Motor Control in Animals

National Science Foundation (IRI 90-24877, IRI 87-16960); Air Force Office of Scientific Research (F49620-92-J-0499); Office of Naval Research (N00014-92-J-1309

Apperceptive patterning: Artefaction, extensional beliefs and cognitive scaffolding

In “Psychopower and Ordinary Madness” my ambition, as it relates to Bernard Stiegler’s recent literature, was twofold: 1) critiquing Stiegler’s work on exosomatization and artefactual posthumanism—or, more specifically, nonhumanism—to problematize approaches to media archaeology that rely upon technical exteriorization; 2) challenging how Stiegler engages with Giuseppe Longo and Francis Bailly’s conception of negative entropy. These efforts were directed by a prevalent techno-cultural qualifier: the rise of Synthetic Intelligence (including neural nets, deep learning, predictive processing and Bayesian models of cognition). This paper continues this project but first directs a critical analytic lens at the Derridean practice of the ontologization of grammatization from which Stiegler emerges while also distinguishing how metalanguages operate in relation to object-oriented environmental interaction by way of inferentialism. Stalking continental (Kapp, Simondon, Leroi-Gourhan, etc.) and analytic traditions (e.g., Carnap, Chalmers, Clark, Sutton, Novaes, etc.), we move from artefacts to AI and Predictive Processing so as to link theories related to technicity with philosophy of mind. Simultaneously drawing forth Robert Brandom’s conceptualization of the roles that commitments play in retrospectively reconstructing the social experiences that lead to our endorsement(s) of norms, we compliment this account with Reza Negarestani’s deprivatized account of intelligence while analyzing the equipollent role between language and media (both digital and analog)

Feature integration in natural language concepts

Two experiments measured the joint influence of three key sets of semantic features on the frequency with which artifacts (Experiment 1) or plants and creatures (Experiment 2) were categorized in familiar categories. For artifacts, current function outweighed both originally intended function and current appearance. For biological kinds, appearance and behavior, an inner biological function, and appearance and behavior of offspring all had similarly strong effects on categorization. The data were analyzed to determine whether an independent cue model or an interactive model best accounted for how the effects of the three feature sets combined. Feature integration was found to be additive for artifacts but interactive for biological kinds. In keeping with this, membership in contrasting artifact categories tended to be superadditive, indicating overlapping categories, whereas for biological kinds, it was subadditive, indicating conceptual gaps between categories. It is argued that the results underline a key domain difference between artifact and biological concepts

The strategic and the stratigraphic: a working paper on the dynamics of organisational evolution.

Despite large debates over fundamental issues a broadly evolutionary paradigm of organisations is growing in legitimacy. It may though be preferable to replace the metaphor of the organisation as an organism with the literal assertion that both social organisations are ecologies (Weeks and Galunic, 2003). They are still classes of complex systems maintained, and specified by, replicators (or schemata Gell Mann 1994) but the interactor is not necessarily the individual organisation, or population of organisations. Conceptual evolution has been argued as a post-Kuhnian analysis of the scientific process (Hull 1988), a rival economic paradigm (references in Hodgson 1993), a view of strategy (e.g. Lloyd 1990) and an explanation of organisational transformation and learning (Price and Evans 1993, Price 1994, 1995).My concern in this paper is to compare strategic extinction and speciation events in both systems. The stratigraphic record shows a dominant pattern of extinctions and radiative speciations which then settle to stabilised ecosystems. The historical and commercial (or strategigraphic?) record illustrates a similar pattern (Rothschild 1990, Tylecote 1993, Arthur 1994). The causes of extinction events may be genuinely external to the system affected (e.g. asteroid impacts interrupting a reptilian dominated system cannot plausibly be traced to feedback processes in any coupled eco/ lithosphere) or they may be internal when the success of a particular replicator system disturbs a wider systemic balance (e.g. ice-house glaciations terminating plant dominated episodes of earth history). Strategic scale parallels of both forms of extinction event can be seen in commercial and technological history. Keywords Organisational evolution, Punctuated equilibrium, Narrative ecology, memetics

A Multi-scale View of the Emergent Complexity of Life: A Free-energy Proposal

We review some of the main implications of the free-energy principle (FEP) for the study of the self-organization of living systems – and how the FEP can help us to understand (and model) biotic self-organization across the many temporal and spatial scales over which life exists. In order to maintain its integrity as a bounded system, any biological system - from single cells to complex organisms and societies - has to limit the disorder or dispersion (i.e., the long-run entropy) of its constituent states. We review how this can be achieved by living systems that minimize their variational free energy. Variational free energy is an information theoretic construct, originally introduced into theoretical neuroscience and biology to explain perception, action, and learning. It has since been extended to explain the evolution, development, form, and function of entire organisms, providing a principled model of biotic self-organization and autopoiesis. It has provided insights into biological systems across spatiotemporal scales, ranging from microscales (e.g., sub- and multicellular dynamics), to intermediate scales (e.g., groups of interacting animals and culture), through to macroscale phenomena (the evolution of entire species). A crucial corollary of the FEP is that an organism just is (i.e., embodies or entails) an implicit model of its environment. As such, organisms come to embody causal relationships of their ecological niche, which, in turn, is influenced by their resulting behaviors. Crucially, free-energy minimization can be shown to be equivalent to the maximization of Bayesian model evidence. This allows us to cast natural selection in terms of Bayesian model selection, providing a robust theoretical account of how organisms come to match or accommodate the spatiotemporal complexity of their surrounding niche. In line with the theme of this volume; namely, biological complexity and self-organization, this chapter will examine a variational approach to self-organization across multiple dynamical scales

Integal futures based on the paradigm approach

The study discusses the interpretation of integral futures in the context of paradigm. The dynamic matrix model of futures paradigm has been developed for carrying out meta-analysis of futures. As a result of meta-analysis integral futures and its new paradigms are defined by way of reconstructing futures paradigm history as responses to changing societal needs and through the outcomes of dynamic and comparative analysis of futures paradigms. The study sets the argument that integral futures: a) is entering a new phase in development of futures that responses to societal demands for sustainability, democratic participation and continuous knowledge production and integration, b) it is the phase of cooperation building between theoretical and practical futures, c) it is the complementary development of co-evolutionary and participatory paradigms, d) it unfolds further research perspectives for futures