Selection for Reinforcement-Free Learning Ability as an Organizing Factor in the Evolution of Cognition
Joint Authors
Suzuki, Reiji
Arnold, Solvi
Arita, Takaya
Source
Advances in Artificial Intelligence
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
This research explores the relation between environmental structure and neurocognitive structure.
We hypothesize that selection pressure on abilities for efficient learning (especially in settings with limited or no reward information) translates into selection pressure on correspondence relations between neurocognitive and environmental structure, since such correspondence allows for simple changes in the environment to be handled with simple learning updates in neurocognitive structure.
We present a model in which a simple form of reinforcement-free learning is evolved in neural networks using neuromodulation and analyze the effect this selection for learning ability has on the virtual species' neural organization.
We find a higher degree of organization than in a control population evolved without learning ability and discuss the relation between the observed neural structure and the environmental structure.
We discuss our findings in the context of the environmental complexity thesis, the Baldwin effect, and other interactions between adaptation processes.
American Psychological Association (APA)
Arnold, Solvi& Suzuki, Reiji& Arita, Takaya. 2013. Selection for Reinforcement-Free Learning Ability as an Organizing Factor in the Evolution of Cognition. Advances in Artificial Intelligence،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-502516
Modern Language Association (MLA)
Arnold, Solvi…[et al.]. Selection for Reinforcement-Free Learning Ability as an Organizing Factor in the Evolution of Cognition. Advances in Artificial Intelligence No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-502516
American Medical Association (AMA)
Arnold, Solvi& Suzuki, Reiji& Arita, Takaya. Selection for Reinforcement-Free Learning Ability as an Organizing Factor in the Evolution of Cognition. Advances in Artificial Intelligence. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-502516
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502516