An empirical study of the co-evolution of utility and predictive ability
| Autor: | Carlo Kopp, Kevin B. Korb, Lachlan Brumley |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Management science 05 social sciences Cognition Evolutionary psychology 0506 political science 03 medical and health sciences Evolution theory 0302 clinical medicine Empirical research 050602 political science & public administration ComputingMethodologies_GENERAL Evolutionary economics 030217 neurology & neurosurgery |
| Zdroj: | CEC |
| DOI: | 10.1109/cec.2016.7743861 |
| Popis: | 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? |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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