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Artificial intelligence / Multi-agent systems / Mathematical optimization / Agent-based model / Constraint satisfaction problem / Genetic algorithm / Psychological resilience / Computing / Constraint programming / Complex systems theory / Science


Evaluating Resilience Strategies Based on an Evolutionary Multi-agent System Kazuhiro Minami, Tomoya Tanjo, and Hiroshi Maruyama Institute of Statistical Mathematics, Tokyo, Japan Email: {kminami, tanjo, hm2}@ism.ac.jp
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Document Date: 2013-10-28 05:43:11

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City

Tokyo / Cambridge / London / Richland / /

Company

Toyota / MIT Press / Multiagent Systems / McGraw-Hill / /

Country

Japan / United States / Netherlands / United Kingdom / /

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Event

Natural Disaster / /

Facility

Hiroshi Maruyama Institute of Statistical Mathematics / /

IndustryTerm

subway gas attack / dynamic constraint-based agent systems / software platform / multi-agent systems / genetic algorithms / resilient systems / evolutionary systems / evolutionary algorithms / energy / /

Movie

Adaptation / /

Organization

Japan Society for the Promotion of Science / MIT / International Foundation for Autonomous Agents / Hiroshi Maruyama Institute of Statistical Mathematics / /

Person

Tomoya Tanjo / /

PublishedMedium

Nature Reviews Genetics / /

Technology

artificial intelligence / simulation / /

URL

http /

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