Self-modifying Systems in Biology and Cognitive Science: A New Framework for Dynamics, Information, and Complexity
The theme of this book is the self-generation of information by the self-modification of systems. The author explains why biological and cognitive processes exhibit identity changes in the mathematical and logical sense. This concept is the basis of a new organizational principle which utilizes shifts of the internal semantic relations in systems. There are mathematical discussions of various classes of systems (Turing machines, input-output systems, synergetic systems, non-linear dynamics etc), which are contrasted with the author's new principle. The most important implications of this include a new conception on the nature of information and which also provides a new and coherent conceptual view of a wide class of natural systems. This book merits the attention of all philosophers and scientists concerned with the way we create reality in our mathematical representations of the world and the connection those representations have with the way things really are.
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A CONSTRUCTIVE APPROACH TO MODELS
FROM OBSERVATIONS TO A THEORY OF DYNAMICS
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abstract algorithm already automata automaton autopoiesis behaviour biological causal cellular cellular automata Chapter characterize cognitive cognitive science complexity component-systems components computation concept consider construction creative Csanyi d-complexity defined definition determined deterministic discussed domain dynamic observables dynamical models dynamical systems elements encoding endophysical entities equations equivalent evolution function existence explain expressed fact Figure formal implications formal system Genidentity given idea information content information sets information theory input instance interactions interpretation Kampis Kolmogorov complexity labels language logical material implications mathematical means measurement mechanics mechanistic systems molecules natural Neumann notion objects operations organization paradox parameters physical possible prediction problem produce properties question random realized recursive replication representation reproduction result self-reproduction sense sequence shuttle principle simple specified statement static structure symbols systems theory theorem theory things trajectory transformation transition Turing Machine universal variables Zeno paradoxes