By Christopher J. Headleand, William J. Teahan, Llyr Ap Cenydd

This publication constitutes the refereed complaints of the 1st overseas Symposium on man made lifestyles and clever brokers, ALIA 2014, held in Bangor, united kingdom, in November 2014. the ten revised complete papers have been rigorously reviewed and chosen from 20 submissions. The papers are prepared in topical sections on studying and evolution; human interplay; robot simulation.

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Extra resources for Artificial Life and Intelligent Agents: First International Symposium, ALIA 2014, Bangor, UK, November 5-6, 2014. Revised Selected Papers

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In particular, we investigate lenience [6,29] as an enabler for cooperation. We report a great difference between pure selection dynamics, and selection-mutation dynamics that include leniency. Moreover, we show how a subset of stubborn agents can influence the learning outcome. We find that well connected agents exert a large influence on the overall network behaviour, and as such can drive the learning process towards a desired outcome. Furthermore, we show how structural network properties, such as size and average degree, influence the learning outcome.

22, 331–354 (2010) 2. : Evolving An Active Vision System for Constrained Environments. AI Project Report (2010) 3. : Co-evolution of active vision and feature selection. Biol. Cybernet. 90, 218–228 (2004) 4. : Evolving a roving eye for go. , Tari, Z. ) GECCO 2004. LNCS, vol. 3103, pp. 1226–1238. Springer, Heidelberg (2004) 5. : Evolving a neural network active vision system for shape discrimination. In: Genetic and Evolutionary Computation Conference (2005) 6. : Evolution of plastic sensory-motor coupling and dynamic categorization.

Cooperation can also be promoted using some incentivising structure in which defection is punishable [9,32], or in which players can choose beforehand to commit to cooperation for some given cost [19]. Both incentives increase the willingness to cooperate in such scenarios where defection would be individually rational otherwise. g. by giving individuals the possibility to break ties with ‘bad’ neighbours and replacing them with a random new connection. For example, Zimmermann and Egu´ıluz show how such a mechanism may promote cooperation, albeit sensitive to perturbations [42].

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