Titlebook: Adaptive and Learning Agents; AAMAS 2011 Internati Peter Vrancx,Matthew Knudson,Marek Grze? Conference proceedings 2012 Springer-Verlag Gmb

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Heterogeneous Populations of Learning Agents in the Minority Game transferred downwards from stronger central governments as revenue pressures on all levels of government have increased. At the same time, a greater focus on the principle of subsidiarity in governance circles has led to the devolution of both policy development and service delivery functions to th

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Back Matteres can support the coding of object continuity. Based on models with spiking neurons, potentially underlying neural mechanisms are proposed: (1) Fast inhibitory feedback loops can generate locally synchronized γ-activities. (2) Hebbian learning of lateral and feed forward connections with distance-d

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Lab Equipment for 3D Cell Culture,tial stage games. In this subclass, several stage games are played one after the other. We also propose a transformation function for that class and prove that transformed and original games have the same set of optimal joint strategies. Under the condition that the played game is obtained through t

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Lab Equipment for 3D Cell Culture,tual pedestrian groups. The aim of the paper is to study empirically the validity of RL to learn agent-based navigation controllers and their transfer capabilities when they are used in simulation environments with a higher number of agents than in the learned scenario. Two RL algorithms which use V

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W. Gray (Jay) Jerome,Robert L. Priceame. In this article we show that the coordination among learning agents can improve when agents use different learning parameters or even evolve their learning parameters. Better coordination leads to less resources being wasted and agents achieving higher individual performance. We also show that