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Multidisciplinary Intersections on Artificial-Human Vividness: Phenomenology, Representation, and the Brain
Violetta Molokopoy1, Amedeo D'Angiulli1,2
1Department of Neuroscience, Carleton University, Ottawa, ON K1S 5B6, Canada.
Brain Sciences
|November 11, 2022
Summary
This study explores vividness across cognitive sciences, integrating symbolic and neural approaches. It aims to bridge artificial-human vividness research for better understanding of consciousness and reasoning.
Area of Science:
- Interdisciplinary cognitive sciences, including artificial intelligence, cognitive psychology, neuroscience, and phenomenology.
Background:
- Reviews precursor work in experimental phenomenology and psychology on vividness.
- Highlights the historical symbolic approach and links to semantic memory and mental models.
- Discusses emerging neural-symbolic representations for integrating brain models with symbolic concepts.
Purpose of the Study:
- To review the state of the art in artificial-human vividness.
- To establish a shared conceptual platform for interdisciplinary dialogue.
- To define vividness's role in grounding simulation and modeling in human reasoning.
Main Methods:
- Interdisciplinary review of existing literature.
- Analysis of symbolic and neural-symbolic approaches to vividness.
- Exploration of phenomenological and ethical considerations.
Main Results:
- Identifies a push towards neural-symbolic representations for vividness.
- Highlights the importance of vividness in cognitive psychology and neuroscience.
- Raises questions about the phenomenology of vividness and consciousness.
Conclusions:
- Vividness research spans multiple disciplines, with growing integration of neural and symbolic models.
- Further development of artificial-human vividness requires interdisciplinary collaboration.
- Understanding vividness is crucial for cognitive processes like reasoning and simulation.
Keywords:
artificial neural networksconsciousnessphenomenologyvivid knowledge representationsvividnessMore Related Videos
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