A novice looks at emotional cognition
Rajendra K. Bera

TL;DR
This paper explores interdisciplinary approaches to modeling emotional cognition, integrating concepts from mathematics, information theory, biology, physics, and computer science to open new research avenues.
Contribution
It introduces a novel interdisciplinary framework for emotional-cognition modeling by synthesizing ideas from diverse scientific fields.
Findings
Proposes a new conceptual framework for emotional-cognition modeling.
Highlights potential applications of quantum computing and dynamical systems.
Encourages cross-disciplinary research in emotional-cognition science.
Abstract
Modeling emotional-cognition is in a nascent stage and therefore wide-open for new ideas and discussions. In this paper the author looks at the modeling problem by bringing in ideas from axiomatic mathematics, information theory, computer science, molecular biology, non-linear dynamical systems and quantum computing and explains how ideas from these disciplines may have applications in modeling emotional-cognition.
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Taxonomy
TopicsCognitive Science and Education Research · Cognitive Computing and Networks · Computability, Logic, AI Algorithms
