Výsledky vyhledávání - "A. Harry Klopf"

A Computational Model of Learned Avoidance Behavior in a One-Way Avoidance Experiment

Autor: Wei Li, Jeffrey D. Johnson, Jinghong Li, A. Harry Klopf

Publikováno v: Adaptive Behavior. 9:91-104

We present a computational model of learned avoidance behavior in a one-way avoidance experiment. Our model employs the reinforcement learning paradigm and a temporal-difference algorithm to implement both classically conditioned and instrumentally c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c47e5f62b3745f97d38d44e08a386cac
https://doi.org/10.1177/105971230200900205

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Reinforcement Learning Applied to a Differential Game

Autor: Mance E. Harmon, A. Harry Klopf, Leemon C. Baird

Publikováno v: Adaptive Behavior. 4:3-28

An application of reinforcement learning to a linear-quadratic, differential game is presented. The reinforcement learning system uses a recently developed algorithm, the residual-gradient form of advantage updating. The game is a Markov decision pro

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https://doi.org/10.1177/105971239500400102

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Reinforcement Learning and Optimal Decision Making. Review of Income and Choice in Biological Control Systems: A Framework for Understanding the Function and Dysfunction of the Brain, by Gershom-Zvi Rosenstein

Autor: Leemon C. Baird, A. Harry Klopf

Publikováno v: Journal of Mathematical Psychology. 38:384-391

Gershom-Zvi Rosenstein wrote this book in 1972 in Moscow as a doctoral dissertation documenting his work from 1963 to 1972. The book refers to 19 papers published by Rosenstein between 1965 and 1972, most of which have been translated into English, s

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https://doi.org/10.1006/jmps.1994.1027

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A Hierarchical Network of Control Systems that Learn: Modeling Nervous System Function During Classical and Instrumental Conditioning

Autor: A. Harry Klopf, James S. Morgan, Scott E. Weaver

Publikováno v: Adaptive Behavior. 1:263-319

A computational model of nervous system function during classical and instrumental conditioning is proposed. The model assumes the form of a hierarchical network of control systems. Each control system is capable of learning and is referred to as an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::79a06fb90b1251e1ab2221f913932c44
https://doi.org/10.1177/105971239300100302

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A Hierarchical Network of Provably Optimal Learning Control Systems: Extensions of the Associative Control Process (ACP) Network

Autor: Leemon C. Baird, A. Harry Klopf

Publikováno v: Adaptive Behavior. 1:321-352

An associative control process (ACP) network is a learning control system that can reproduce a variety of animal learning results from classical and instrumental conditioning experiments (Klopf, Morgan, & Weaver, 1993; see also the article, 'A Hierar

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https://doi.org/10.1177/105971239300100303

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THE ROLE OF TIME IN NATURAL INTELLIGENCE: IMPLICATIONS FOR NEURAL NETWORK AND ARTIFICIAL INTELLIGENCE RESEARCH**This research was supported under Task 2312 R1 by the Life Sciences Directorate of the United States Air Force Office of Scientific Research. This is a revised version of a paper presented at the International Joint Conference on Neural Networks, Washington DC, 18–22 June 1989

Autor: A. Harry Klopf, James S. Morgan

Real-time, closed-loop interactions between biological systems and their environments appear to be fundamental to the mechanisms that underlie natural intelligence. Such a theoretical view has given rise to neuronal models that predict a vide range o

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https://doi.org/10.1016/b978-0-444-88400-8.50028-5

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Drive-reinforcement learning and hierarchical networks of control systems as models of nervous system function

Autor: A. Harry Klopf

Publikováno v: International Journal of Psychophysiology. 25:42-43

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https://doi.org/10.1016/s0167-8760(97)85453-0

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A comparison of natural and artificial intelligence

Autor: A. Harry Klopf

Publikováno v: ACM SIGART Bulletin. :11-13

This paper was motivated, in part, by Price's recent (1975) tutorial comparing human and computer visual systems. While I found his comparisons interesting, a fundamental question continued to trouble me, as it has now for a number of years. Namely,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6dac11460dbdedb523128692726436f
https://doi.org/10.1145/1045236.1045237

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Contributors

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https://doi.org/10.1016/b978-0-12-148955-7.50003-5

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Classical Conditioning Phenomena Predicted by a Drive-Reinforcement Model of Neuronal Function

Autor: A. Harry Klopf

Publisher Summary This chapter discusses the classical conditioning phenomena predicted by a drive-reinforcement model of the neuronal function and describes several modifications to the Hebbian neuronal model. The modifications yield a model that is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c35bd1dc73147c13b147a136d7b7828
https://doi.org/10.1016/b978-0-12-148955-7.50011-4

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