Titlebook: Advances in Artificial Life; 7th European Confere Wolfgang Banzhaf,Jens Ziegler,Jan T. Kim Conference proceedings 2003 Springer-Verlag Berl

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https://doi.org/10.1007/978-981-10-1025-5f panicking individuals to optimize the evacuation. This was done using a model constructed by Helbing, Farkas, and Vicsek [1]. After reproducing the main results, this model was used to explore the behavior of a mixed crowd, in which only a percentage of the victims were panicking. The main part of

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Communicating Science for a Better Tomorrowiour. Although there are two game theoretical views of rules, i.e., seeing rules as game forms and as equilibria of games, endogenous changes of rules are not modelled effectively by either of these two views. We introduce a model for integrating the two views, in which the interaction rules of repl

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https://doi.org/10.1007/978-3-031-29758-8er indivisible resources and to reduce the costly outcomes associated with fighting. Signalling behaviour, used by agents of different strengths, to aid resource acquisition was modelled using an artificial life simulation environment. Honest signalling and the bluff strategy based on Enquist/Hurd’s

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Emergence of Social Technologieseace keeping efforts. Land is modelled as a toroidal plain divided into square grid. Each nation consists of several villages that own a limited number of adjoining tiles of grids. A nation sometimes invades an adjacent village of another nation and occupies it. Inhabitants in each village consists

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Emergence of Social Technologiesguided by the genotype and affected by the agent’s experience. Evolution was used to generate effective controllers of this kind for orientation and discrimination tasks as introduced by Beer. This scheme allows these behaviours to be generated quickly and effectively and may offer insights into the

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