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Artificial Life

Outline. IntroductionArtificial LifeSimulation of IndividualsSimulation of populationIterated Prisoners' DilemmaN-Persons Iterated Prisoners' DilemmaNorm Competition. Introduction. Christoph Adami suggested :Life is a property of an ensemble of units that share information coded in a physica

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Artificial Life

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    1. Artificial Life Artificial Intelligence Department of Industrial Engineering and Management Cheng Shiu University

    2. Outline Introduction Artificial Life Simulation of Individuals Simulation of population Iterated Prisoners’ Dilemma N-Persons Iterated Prisoners’ Dilemma Norm Competition

    3. Introduction Christoph Adami suggested : “Life is a property of an ensemble of units that share information coded in a physical substrate and which, in the presence of noise, manages to keep its entropy significantly lower than the maximal entropy of the ensemble, on timescales exceeding the ‘natural’ timescale of decay of the (information-bearing) substrate by many orders of magnitude.” To solve computational problem by biological skill To solve biological problems by computational skill

    4. Artificial Life (ALife) To this point, we’ve used nature as the inspiration for algorithms Genetic algorithms – evolution Ant colony algorithms – ant colonies Particle swarm optimisation – flocking/swarming behaviours And we will look at artificial immune systems, based on the human immune system Artificial life is somewhat different Computer systems simulating life

    5. Artificial life is about better understanding what it is to be alive. Biology is primarily reductionist – an explanation of a behaviour or phenomenon at one level can be explained by further investigation at the level below (see left) This is a reasonable top-down approach. Artificial life takes a bottom-up approach.

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