A Non-equilibrium Thermodynamic Framework of Consciousness
arXiv:2005.02801
Abstract
In this paper, we take a brief look at the advantages and disadvantages of dominant frameworks in consciousness studies -- functionalist and causal structure theories, and use it to motivate a new non-equilibrium thermodynamic framework of consciousness. The main hypothesis in this paper will be two thermodynamic conditions obtained from the non-equilibrium fluctuation theorems -- TCC 1 and 2, that the author proposes as necessary conditions that a system will have to satisfy in order to be 'conscious'. These descriptions will look to specify the functions achieved by a conscious system and restrict the physical structures that achieve them without presupposing either of the two. These represent an attempt to integrate consciousness into established physical law (without invoking untested novel frameworks in quantum mechanics and/or general relativity). We will also discuss it's implications on a wide range of existing questions, including a stance on the hard problem. The paper will also explore why this framework might offer a serious path forward to understanding consciousness (and perhaps even realizing it in artificial systems) as well as laying out some problems and challenges that lie ahead.
References in corpus (15)
- A nonequilibrium equality for free energy differences
- The Entropy Production Fluctuation Theorem and the Nonequilibrium Work Relation for Free Energy Differences
- The information bottleneck method
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity
- A Survey of Neuromorphic Computing and Neural Networks in Hardware
- The thermodynamics of prediction
- Consciousness as a State of Matter
- Information theoretic approach to interactive learning
- Information Closure Theory of Consciousness
- Thermodynamic cost and benefit of memory
- Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries
- Optimal high-level descriptions of dynamical systems
- Thermodynamic Computing
- Quantifying the Rise and Fall of Complexity in Closed Systems: The Coffee Automaton
- Self-organized novelty detection in driven spin glasses