Agent-Based Modeling and Network Dynamics by Akira Namatame,Shu-Heng Chen PDF

By Akira Namatame,Shu-Heng Chen

whereas the importance of networks in quite a few human habit and actions has a historical past so long as human's life, community know-how is a contemporary clinical phenomenon. The neologism community technology is only one or 20 years previous. however, with this restricted time, community considering has considerably reshaped the hot improvement in economics, and just about all suggestions to real-world difficulties contain the community element.

This booklet integrates agent-based modeling and community technological know-how. it's divided into 3 elements, particularly, foundations, basic dynamics on and of social networks, and functions. The authors start with the community foundation of agent-based types, often called mobile automata, and introduce a few vintage types, resembling Schelling's segregation version and Axelrod's spatial video game. The essence of the root half is the network-based agent-based versions during which brokers stick to network-based
decision principles. lower than the impression of the mammoth growth in community technological know-how in overdue Nineties, those versions were prolonged from utilizing lattices into utilizing small-world networks, scale-free networks, and so forth. The textual content additionally indicates that the fashionable community technological know-how generally pushed by way of game-theorists and
sociophysicists has encouraged agent-based social scientists to improve substitute formation algorithms, referred to as agent-based social networks. It experiences a couple of pioneering and consultant types during this relatives. Upon the given beginning, the second one half reports 3 fundamental kinds of community dynamics, reminiscent of diffusions, cascades, and affects. those basic dynamics are extra prolonged and enriched through functional networks in goods-and-service markets, hard work markets, and
international alternate. on the finish, the booklet considers demanding matters utilizing agent-based types of networks: community hazards and fiscal growth.

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Agent-Based Modeling and Network Dynamics by Akira Namatame,Shu-Heng Chen


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