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Frontiers in Artificial Intelligence and Applications

ISSN 0922-6389

2 papers in the library · publishing 2016-2023

Papers

Chapter 10. Connectionist Neuroarchitectures in Cognition and Consciousness Theory Based on Integrative (Synchronization) Mechanisms

Frontiers in Artificial Intelligence and Applications July 21, 2023 Harald Maurer

Cognitive neuroarchitectures, developed since the mid-1980s within connectionism, are theoretical models that explain perceptual and linguistic performances of self-organizing neuronal networks in the human brain, addressing the binding problem. Neurocognition is organized by integrative phase synchronization mechanisms that orchestrate information flow in networks with positive and negative feedback loops across subcortical and cortical areas. This dynamic perspective bridges the gap between discrete, abstract symbolic descriptions of propositions and their continuous, numerical modeling. By conceptualizing these architectures as nonlinear dynamical systems, they enable more accurate modeling of cognitive processes using neurodynamics in abstract n-dimensional phase spaces.

Is Consciousness a Control Process?

Frontiers in Artificial Intelligence and Applications January 1, 2016

Consciousness may have evolved as a social prediction mechanism for anticipating the intentions of others. Drawing on control theory and cybernetics, the authors argue that evolutionary pressures on interacting agents drive the emergence of consciousness, which enables an agent to predict intentional states of both self and others. This capacity supports cooperative and competitive social behaviors needed to optimize survival in resource-limited environments. The paper discusses core functions of consciousness and outlines architectural specifications for agents that could operationalize these functions, linking neuroscience and artificial intelligence.