Co-evolution, Determinism and Robustness

Co-evolution, Determinism and Robustness

Robustness has long been recognised as a critical issue for co-evolutionary learning. It has been achieved in a number of cases, though usually in domains which involve some form of non-determinism. We examine a deterministic domain — a pseudo real-time two-player game called Tron - and evolve a neu...

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Hauptverfasser: Blair, Alan D., Sklar, Elizabeth, Funes, Pablo
Format: Buchkapitel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Co-evolution
Computer science
control theory
systems
Exact sciences and technology
Learning and adaptive systems
Neural networks
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Sklar, Elizabeth
Funes, Pablo
description Robustness has long been recognised as a critical issue for co-evolutionary learning. It has been achieved in a number of cases, though usually in domains which involve some form of non-determinism. We examine a deterministic domain — a pseudo real-time two-player game called Tron - and evolve a neural network player using a simple hill-climbing algorithm. The results call into question the importance of determinism as a requirement for successful co-evolutionary learning, and provide a good opportunity to examine the relative importance of other factors.
doi_str_mv 10.1007/3-540-48873-1_50
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language eng
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source Springer Books
subjects Applied sciences
Artificial intelligence
Co-evolution
Computer science
control theory
systems
Exact sciences and technology
Learning and adaptive systems
Neural networks
title Co-evolution, Determinism and Robustness
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