An empirical study of the co-evolution of utility and predictive ability

Kevin B. Korb; Lachlan Brumley; Carlo Kopp

doi:10.1109/CEC.2016.7743861

An empirical study of the co-evolution of utility and predictive ability

Kevin B. Korb, Lachlan Brumley, Carlo Kopp

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

The evolution of cognition is a relatively under-explored issue in cognitive science and evolution theory. The development and influence of evolutionary psychology in recent decades has stimulated interest in it just recently, but the methods applied largely remain bound to ethological observation and the theory-based use of evolutionary principles. Here we illustrate a new empirical approach to answering a particular question that arises in the evolution of decision making. In particular, we show how agent-based evolutionary simulation can answer questions in the evolution of cognition by answering a question about the evolution of utility raised by evolutionary economics, namely how do utilities and prediction co-evolve?

Original language	English
Title of host publication	Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016)
Subtitle of host publication	24 - 29 July 2016, Vancouver, Canada
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	703-710
Number of pages	8
ISBN (Electronic)	9781509006229
ISBN (Print)	9781509006243
DOIs	https://doi.org/10.1109/CEC.2016.7743861
Publication status	Published - 14 Nov 2016
Event	IEEE Congress on Evolutionary Computation 2016 - Vancouver Convention Centre, Vancouver, Canada Duration: 24 Jul 2016 → 29 Jul 2016 http://www.wcci2016.org/index.php https://ieeexplore.ieee.org/xpl/conhome/7636124/proceeding (Proceedings)

Conference

Conference	IEEE Congress on Evolutionary Computation 2016
Abbreviated title	IEEE CEC 2016
Country/Territory	Canada
City	Vancouver
Period	24/07/16 → 29/07/16
Internet address	http://www.wcci2016.org/index.php https://ieeexplore.ieee.org/xpl/conhome/7636124/proceeding (Proceedings)

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10.1109/CEC.2016.7743861

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title = "An empirical study of the co-evolution of utility and predictive ability",

abstract = "The evolution of cognition is a relatively under-explored issue in cognitive science and evolution theory. The development and influence of evolutionary psychology in recent decades has stimulated interest in it just recently, but the methods applied largely remain bound to ethological observation and the theory-based use of evolutionary principles. Here we illustrate a new empirical approach to answering a particular question that arises in the evolution of decision making. In particular, we show how agent-based evolutionary simulation can answer questions in the evolution of cognition by answering a question about the evolution of utility raised by evolutionary economics, namely how do utilities and prediction co-evolve?",

author = "Korb, \{Kevin B.\} and Lachlan Brumley and Carlo Kopp",

year = "2016",

month = nov,

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doi = "10.1109/CEC.2016.7743861",

language = "English",

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pages = "703--710",

booktitle = "Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE Congress on Evolutionary Computation 2016, IEEE CEC 2016 ; Conference date: 24-07-2016 Through 29-07-2016",

url = "http://www.wcci2016.org/index.php, https://ieeexplore.ieee.org/xpl/conhome/7636124/proceeding",

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Korb, KB, Brumley, L & Kopp, C 2016, An empirical study of the co-evolution of utility and predictive ability. in Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016): 24 - 29 July 2016, Vancouver, Canada., 7743861, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 703-710, IEEE Congress on Evolutionary Computation 2016, Vancouver, British Columbia, Canada, 24/07/16. https://doi.org/10.1109/CEC.2016.7743861

An empirical study of the co-evolution of utility and predictive ability. / Korb, Kevin B.; Brumley, Lachlan; Kopp, Carlo.
Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016): 24 - 29 July 2016, Vancouver, Canada. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 703-710 7743861.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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N2 - The evolution of cognition is a relatively under-explored issue in cognitive science and evolution theory. The development and influence of evolutionary psychology in recent decades has stimulated interest in it just recently, but the methods applied largely remain bound to ethological observation and the theory-based use of evolutionary principles. Here we illustrate a new empirical approach to answering a particular question that arises in the evolution of decision making. In particular, we show how agent-based evolutionary simulation can answer questions in the evolution of cognition by answering a question about the evolution of utility raised by evolutionary economics, namely how do utilities and prediction co-evolve?

AB - The evolution of cognition is a relatively under-explored issue in cognitive science and evolution theory. The development and influence of evolutionary psychology in recent decades has stimulated interest in it just recently, but the methods applied largely remain bound to ethological observation and the theory-based use of evolutionary principles. Here we illustrate a new empirical approach to answering a particular question that arises in the evolution of decision making. In particular, we show how agent-based evolutionary simulation can answer questions in the evolution of cognition by answering a question about the evolution of utility raised by evolutionary economics, namely how do utilities and prediction co-evolve?

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BT - Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016)

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Y2 - 24 July 2016 through 29 July 2016

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An empirical study of the co-evolution of utility and predictive ability

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