Biosyst.
August 23, 2025
S. Chirumbolo, A. Vella
This study introduces a theoretical framework where consciousness emerges as a consequence of Prigoginian Informational Dissipation (PID), a dynamic process through which information arises in far-from-equilibrium systems. By modelling particle interactions governed by dissipative feedback, the work demonstrates how structure, memory, and complexity evolve, culminating in a proto-self...
Biosyst.
August 11, 2025
Robert Cacioppo
Beginning with spatiotemporal patterns of states at the vertices of a finite directed acyclic graph where a directed edge indicates an influence of the domain state on the codomain state, we construct a Grothendieck topos defined on sites for the category of finite directed acyclic graphs. We suggest this as a computational framework for cortical activity. Since a topos expresses a constructive...
Biosyst.
December 1, 2024
William B. Miller, František Baluška, Arthur S. Reber et al.
The presumption that experiential consciousness requires a nervous system and brain has been central to the debate on the possibility of developing a conscious form of artificial intelligence (AI). The likelihood of future AI consciousness or devising tools to assess its presence has focused on how AI might mimic brain-centered activities. Currently, dual general assumptions prevail: AI...
Biosyst.
April 1, 2022
J. Stewart
A strategy for investigating consciousness that has proven very productive has focused on comparing brain processes that are accompanied by consciousness with processes that are not. But comparatively little attention has been given to a related strategy that promises to be even more fertile. This strategy exploits the fact that as individuals develop, new classes of brain processes can...
Biosyst.
January 30, 2021
R. Wallace
27 citations
Since the reduction of uncertainty associated with cognition necessarily implies existence of a 'dual' information source, the Source Coding and Rate Distortion Theorems of information theory, in combination with the Data Rate Theorem of control theory, are sufficient to model much of embodied cognition. An iterated Morse Function 'free energy' allows construction of a 'higher entropy' analog...
Biosyst.
October 1, 2016
T. Ziemke
62 citations
Embodied cognition is a hot topic in both cognitive science and AI, despite the fact that there still is relatively little consensus regarding what exactly constitutes 'embodiment'. While most embodied AI and cognitive robotics research views the body as the physical/sensorimotor interface that allows to ground computational cognitive processes in sensorimotor interactions with the environment,...