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Mathematical Consciousness Science (view source)
Revision as of 19:00, 30 December 2021
, 19:00, 30 December 2021no edit summary
Examples include:
* '''[https://en.wikipedia.org/wiki/Integrated_information_theory Integrated Information Theory]''' (IIT)<ref name=Tononi2014>Oizumi, M.; Albantakis, L.; Tononi, G. (2014), From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0. PLOS Comput Biol. 10 (5): e1003588.</ref> models the physical system with Markov processes obtained from a circuit model. The consciousness domain model involves several outputs of the IIT algorithm but most notably includes a non-negative scalar function <math display="inline">\Phi</math>, related to the intrinsic irreducibility of a network, that, according to the theory, measures level of consciousness. The algorithm, mapping between the physical domain model and the consciousness domain model, has causation at its heart. Therefore, a key modelling assumption in IIT is that a system’s consciousness is directly related to its causal properties.
* '''[https://wiki.amcs.science/index.php?title=Expected_Float_Entropy_Minimisation Expected Float Entropy Minimisation]''' (EFE) and its extension to model unity<ref name=Mason2021>Mason, J. W. (2021), Model Unity and the Unity of Consciousness: Developments in Expected Float Entropy Minimisation. Entropy, 23, 11. doi:10.3390/e23111444</ref>, models the physical system with a joint probability distribution that represents the system's intrinsic bias to being in certain states over other states. The consciousness domain model involves a hierarchy of relational models in the form of matrices of real valued parameters in the range <math display="inline">[0,1]</math>. According to the theory, the relational models provide an interpretation of system states that gives the relational content of the associated experience. According to the theory, the theory’s extension to model unity then deals with the issue of integration. The mapping between the physical domain model and the consciousness domain model involves the minimisation of expected float entropy so that the resulting relational model gives the minimum expected entropy interpretation of system states. Therefore, two key modelling assumptions in EFE minimisation are that consciousness is a minimum expected entropy interpretation of system states and that the structural content of consciousness comes from the correlations and relationships intrinsically encoded in the bias of a system.
===Computational models===
