Epistemic Complexity and Knowledge Construction
Subtitle: Morphogenesis, symbolic dynamics and beyond
By: by A. Carsetti
Contributors: SpringerLink (Online service)
Series: Theory and Decision Library A:, Rational Choice in Practical Philosophy and Philosophy of Science -- 45
Publisher: Springer Netherlands; Imprint: Springer
Published: 2013
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] :
Number of pages: 151
ISBN-13: 9789400760134
Subjects: Philosophy (General); Dynamical Systems and Complexity Statistical Physics; Consciousness; Cognitive psychology; Genetic epistemology; Philosophy; Simulation and Modeling; Philosophy of mind; Computer simulation; Theory of Knowledge
Description: As is well known, cognition is not only a self-organising process. It is also a co-operative and coupled process. If we consider the external environment as a complex, multiple and stratified Source which interacts with the nervous system, we can easily realise that the cognitive activities devoted to the "intelligent" search for the depth information living in the Source, may determine the very change of the complexity conditions according to which the Source progressively expresses its "wild" action. In this sense, simulation models are not neutral or purely speculative: the true cognition actually appears to be necessarily connected with successful forms of reading, those forms, in particular, that permit a specific coherent unfolding of the deep information content of the Source. Therefore, the simulation models, if valid, materialise as "creative" channels, i.e., as autonomous functional systems, as the very roots of a new possible development of the entire system represented by mind and its Reality.
Table of contents: title: Dedication; title: Acknowledgements; title: 1. Omplexity, Self-Organization And Natural Evolution. - 1. Entropy and the “intermediate state”; title: 2. Algorithmic complexity and self-referentiality; title: 3. Cellular automata and self-organization. - 2. Embodiment Processes And Biological Computing.-1. The game of life and the alternative splicing; title: 2. The interface between ruler and coder; title: 3. The recipe at work: the role of the simulation tools at the evolutionary level; title: 4. Reflexive domains vs. self-organizing domains; title: 3. Randomness,  Semantic Information and Limitations Procedures. - 1. Logic and probability: the role of constituents; title: 2. Semantic information and algorithmic complexity; title: 3. Surface  information vs. depth information: the biological computer; title: 4. Non-standard models and limitation procedures; title: 4. Natural Language  And The Self-Organizing Cognitive Code; title: 1.Intensional language and natural logic; title: 2. Logic and ontology; title: 3.  Meaning as use and the unfolding of cognitive activity; title: 5.  Morphogenesis And The Emergence Of Meaning. - 1. Eigenforms, categorial intuitions and perception; title: 2. Meaning clarification and the "thinking I"; title: 3. Knowledge and Reality: the role of conceptual constructions; title: Name Index; title: Subject Index.  .