Artificial Societies: The Computer Simulation Of Social Life by Nigel Gilbert, Rosaria Conte

By Nigel Gilbert, Rosaria Conte

An exploration of the results of advancements in synthetic intelligence for social clinical examine, which builds at the theoretical and methodological insights supplied by means of "Simulating societies".; This booklet is meant for world wide library marketplace for social technology topics equivalent to sociology, political technological know-how, geography, archaeology/anthropology, and demanding charm inside computing device technology, relatively man made intelligence. additionally own reference for researchers.

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Extra info for Artificial Societies: The Computer Simulation Of Social Life (Social Research Techniques & Methods)

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The strongest actor of its cluster, actor 7. Artificial societies 28 Demands within clusters do not always get resolved by payments for tribute. e. fighting among members of the same cluster. The strongest member of a cluster typically is strong enough, by taking sides, to prevent such a fight from taking place. If, however, the strongest member is equally committed to the attacker and the defender (perhaps by being totally committed to both), then it would stay neutral. This allows civil wars to occur if the active actor finds a lucrative target within the same cluster, and the target finds it more costly to pay tribute than to fight.

Let us illustrate the problem with a trivial example: suppose that N= 10,000 and all accountants have a counting capacity of k=10 bills. We will need therefore L1=1000 accountants at the first level, who will count the 10,000 bills, issue 1000 bills of face value and put them in a new stack. To count this new stack, L2=100 accountants are and put them in a new stack that needs needed, who will issue 100 bills valued L3=10 accountants to count them. Finally, only one accountant (L4=1) is needed to count these 10 bills of and announce the result of the entire counting process.

5. A cluster can have more than one powerful member. Clusters are often like empires, with one powerful actor and many weaker ones who pay tribute to it. 8, it is also possible for a second actor to grow strong in the shadow of the first. 6. Initial endowment does not guarantee or even predict success. Before clusters of commitments are established, wealth can be as much a handicap as an asset. The A model of the emergence of new political actors 29 reason is that wealth makes an actor a lucrative target for other strong actors, and can make one over-confident in making demands.

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