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Complex links in MES
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> Context • At present, we lack a common understanding of both the process of cognition in living organisms and the construction of knowledge in embodied, embedded cognizing agents in general, including future artifactual cogni-tive agents under development, such as cognitive robots and softbots. > Purpose • This paper aims to show how the info-com...
Context in source publication
Context 1
... the MP makes also possible the emergence of complex links, composed of simple links binding non-adjacent clusters, for instance a simple link binding a cluster from P to Pʹ and a simple link from Qʹ to Q if Pʹ and Qʹ are functionally equivalent patterns with colimit cQʹ = cPʹ (cf. Figure 1). Com- plex links reflect "changes in the conditions of change" (Popper 1957). ...
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Citations
... The articles [138][139][140] give the details of my position on the topic of reality/knowledge construction for a cognizing agent through the processes of morphological computation in info-computational nature. ...
Three special issues of Entropy journal have been dedicated to the topics of “Information-Processing and Embodied, Embedded, Enactive Cognition”. They addressed morphological computing, cognitive agency, and the evolution of cognition. The contributions show the diversity of views present in the research community on the topic of computation and its relation to cognition. This paper is an attempt to elucidate current debates on computation that are central to cognitive science. It is written in the form of a dialog between two authors representing two opposed positions regarding the issue of what computation is and could be, and how it can be related to cognition. Given the different backgrounds of the two researchers, which span physics, philosophy of computing and information, cognitive science, and philosophy, we found the discussions in the form of Socratic dialogue appropriate for this multidisciplinary/cross-disciplinary conceptual analysis. We proceed as follows. First, the proponent (GDC) introduces the info-computational framework as a naturalistic model of embodied, embedded, and enacted cognition. Next, objections are raised by the critic (MM) from the point of view of the new mechanistic approach to explanation. Subsequently, the proponent and the critic provide their replies. The conclusion is that there is a fundamental role for computation, understood as information processing, in the understanding of embodied cognition.
... Maturana and Varela were the first to propose that the life itself can be understood as a process of cognition [32] [33]. Building on Maturana and Varela's understanding of cognition the author proposed an infocomputational constructive framework [34] [35][36] [37] [38] with the aim to explain how increasingly complex structures develop as a result of information processing in nature. These information processes can be modeled as natural morphological computation, in the network of networks of physical processes where constant exchange (communication) of data (signals) among agents establishes new structures on physical, chemical and biological levels. ...
This paper presents a view of nature as a network of infocomputational agents organized in a dynamical hierarchy of levels. It provides a framework for unification of currently disparate understandings of natural, formal, technical, behavioral and social phenomena based on information as a structure, differences in one system that cause the differences in another system, and computation as its dynamics, i.e. physical process of morphological change in the informational structure. We address some of the frequent misunderstandings regarding the natural/morphological computational models and their relationships to physical systems, especially cognitive systems such as living beings. Natural morphological infocomputation as a conceptual framework necessitates generalization of models of computation beyond the traditional Turing machine model presenting symbol manipulation, and requires agent-based concurrent resource-sensitive models of computation in order to be able to cover the whole range of phenomena from physics to cognition. The central role of agency, particularly material vs. cognitive agency is highlighted.
... Present account suggests that the concept of computation as information processing develops together with the constantly increasing scientific knowledge and tools of analysis [54]. We present the structural framework of information processing and computation starting with existential triadic relationships between (physical, structural, mental/cognitive) and taxonomies of numerous aspects of computation that follow this basic existential layered architecture that is paralleled by physico-chemical, chemo-biological and bio-cognitive levels of information processing [55]. As there is no information without (physical) representation [18], the dynamics of information is implemented on different levels of granularity by different physical processes, including the level of computation performed by computing machines (designed computation), as well as by living organisms (cognitive computation). ...
This paper presents taxonomy of models of computation. It includes Existential (Physical, Abstract and Cognitive), Organizational, Temporal, Representational, Domain/Data, Operational, Process-oriented and Level-based taxonomy. It is connected to more general notion of natural computation, intrinsic to physical systems, and particularly to cognitive computation in living organisms and artificial cognitive systems. Computation is often understood through the Turing machine model, in the fields of computability, computational complexity and even as a basis for the present-day computer hardware and software architectures. However, several aspects of computation, even those existing in today's applications, are left outside in this model, thus adequate models of real-time, distributed, self-organized, resource-aware, adaptive, learning computation systems are currently being developed.
