By Professor Akira Namatame
Self-contained and unified in presentation, this beneficial ebook offers a huge creation to the attention-grabbing topic of many-body collective platforms with adapting and evolving brokers. The assurance contains video game theoretic structures, multi-agent structures, and large-scale socio-economic platforms of person optimizing brokers. the range and scope of such structures were gradually becoming in machine technology, economics, social sciences, physics, and biology.
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Extra info for Adaptation And Evolution in Collective Systems (Advances in Natural Computation)
Agent-based modeling> The approach of agent-based modeling is the main tool in many research fields. With agent-based modeling, we can describe a system from the bottom up, from the point of view of its constituent units, as opposed to a top-down approach, where we look at the properties at the aggregate level without worrying about the system's components and their interactions. The novelty in agent-based modeling, compared to what physicists call micro-simulation, is that we are dealing with modeling collective systems, where the components of the system are agents or human beings with adaptive and evolving behavior.
3 A set of strategies in which if no agent can improve her payoff without lowering the payoff of the other agent is defined to satisfy collective rationality. 4 A set of strategies is defined as being in efficient equilibrium (Pareto-efficient) if it maximizes the summation of the payoffs of all agents. 1. If an agent chooses either strategy Si or S2, we define such a definitive choice as a pure strategy. If an agent chooses 5; with some probability x and S2 with remaining probability 1-x, we define such a probabilistic choice as a mixed strategy, which is denoted as x=(x, 1-x).
In general, an evolutionary process combines two basic elements: A mutation mechanism that provides variation and a selection mechanism that favors some variations over others. Agents with higher payoff are at a productive advantage compared to agents who use strategy with lower payoff. Hence, the latter decrease in frequency in the population over time by natural selection. It is not surprising that many scientists are exploring a new unified theory of evolution by merging learning in game theory and evolutionary game theory with modern biological evolution theory.
Adaptation And Evolution in Collective Systems (Advances in Natural Computation) by Professor Akira Namatame