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Titlebook: Artificial Life: Borrowing from Biology; 4th Australian Confe Kevin Korb,Marcus Randall,Tim Hendtlass Conference proceedings 2009 Springer-

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61#
發(fā)表于 2025-4-1 05:08:42 | 只看該作者
An Empirical Exploration of a Definition of Creative Novelty for Generative Artcuss motivations for this perspective in the context of machine learning. We show the definition to be computationally tractable, and apply it to the domain of generative art, utilizing a collection of features drawn from image processing. We next utilize our model of creativity in an interactive ev
62#
發(fā)表于 2025-4-1 09:08:48 | 只看該作者
63#
發(fā)表于 2025-4-1 11:55:02 | 只看該作者
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發(fā)表于 2025-4-1 16:59:11 | 只看該作者
Co-evolutionary Learning in the N-player Iterated Prisoner’s Dilemma with a Structured Environmentolutionary learning to evolve cooperative strategies in structured populations using the N-player Iterated Prisoner’s Dilemma (NIPD). To do so, we examine the effects of both fixed and random neighbourhood structures on the evolution of cooperative behaviour in a lattice-based NIPD model. Our main f
65#
發(fā)表于 2025-4-1 22:33:53 | 只看該作者
Evolving Cooperation in the N-player Prisoner’s Dilemma: A Social Network Modeltively form social links, which are reinforced by subsequent cooperative actions. Agents tend to interact with players from their social network. However, when an agent defects, the links with its opponents in that game are broken. We examine two different scenarios: (a) where all agents are equippe
66#
發(fā)表于 2025-4-2 02:22:35 | 只看該作者
Using Misperception to Counteract Noise in the Iterated Prisoner’s Dilemmas. The Tit for Tat strategy has been identified as a successful strategy which reinforces mutual cooperation, however, it is sensitive to environmental noise which disrupts continued cooperation between players to their detriment. This paper explores whether a population of Tit for Tat players may e
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