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- Agent-based_model abstract "An agent-based model (ABM) is a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo Methods are used to introduce randomness. Particularly within ecology, ABMs are also called individual-based models. A review of recent literature on individual-based models, agent-based models and multiagent systems shows that ABMs are used on non-computing related scientific domainsincluding biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.The models simulate the simultaneous operations and interactions of multiple agents, in an attempt to re-create and predict the appearance of complex phenomena. The process is one of emergence from the lower (micro) level of systems to a higher (macro) level. As such, a key notion is that simple behavioral rules generate complex behavior. This principle, known as K.I.S.S. ("Keep it simple, stupid") is extensively adopted in the modeling community. Another central tenet is that the whole is greater than the sum of the parts. Individual agents are typically characterized as boundedly rational, presumed to be acting in what they perceive as their own interests, such as reproduction, economic benefit, or social status, using heuristics or simple decision-making rules. ABM agents may experience "learning", adaptation, and reproduction.Most agent-based models are composed of: (1) numerous agents specified at various scales (typically referred to as agent-granularity); (2) decision-making heuristics; (3) learning rules or adaptive processes; (4) an interaction topology; and (5) a non-agent environment. ABMs are typically implemented as computer simulations, either as custom software, or via ABM toolkits, and this software can be then used to test how changes in individual behaviors will affect the system's emerging overall behavior.".
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- Agent-based_model wikiPageExternalLink Updated%20Meeting%20Scheduling.
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- Agent-based_model wikiPageExternalLink prietula_michael.html.
- Agent-based_model wikiPageExternalLink openurl.asp?genre=article&eissn=1740-2131&volume=4&issue=3&spage=264.
- Agent-based_model wikiPageExternalLink abstract=2336772.
- Agent-based_model wikiPageExternalLink MacalNorth.pdf.
- Agent-based_model wikiPageExternalLink www.abm-ecology.org.
- Agent-based_model wikiPageExternalLink www.artificiallife.org.
- Agent-based_model wikiPageExternalLink SmartAgents_abstract.html.
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- Agent-based_model wikiPageExternalLink abmread.htm.
- Agent-based_model wikiPageExternalLink fixedvar.htm.
- Agent-based_model wikiPageExternalLink taller_resumen2.htm.
- Agent-based_model wikiPageExternalLink www.masfoundations.org.
- Agent-based_model wikiPageExternalLink faq.
- Agent-based_model wikiPageExternalLink ?q=agent+based.
- Agent-based_model wikiPageExternalLink 978-0-8176-4945-6.
- Agent-based_model wikiPageID "985619".
- Agent-based_model wikiPageRevisionID "600481785".
- Agent-based_model hasPhotoCollection Agent-based_model.
- Agent-based_model subject Category:Artificial_life.
- Agent-based_model subject Category:Behavioral_and_social_facets_of_systemic_risk.
- Agent-based_model subject Category:Complex_systems_theory.
- Agent-based_model subject Category:Methods_in_sociology.
- Agent-based_model subject Category:Models_of_computation.
- Agent-based_model subject Category:Multi-agent_systems.
- Agent-based_model subject Category:Scientific_modeling.
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- Agent-based_model type YagoLegalActor.
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- Agent-based_model comment "An agent-based model (ABM) is a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo Methods are used to introduce randomness.".
- Agent-based_model label "Agent-based model".
- Agent-based_model label "Agent-gebaseerd model".
- Agent-based_model label "Agentenbasierte Modelle".
- Agent-based_model label "Modelo basado en agente".
- Agent-based_model label "Programowanie agentowe".
- Agent-based_model label "Агентное моделирование".
- Agent-based_model label "エージェント・ベース・モデル".
- Agent-based_model label "个体为本模型".
- Agent-based_model sameAs Multiagentní_modelování.
- Agent-based_model sameAs Agentenbasierte_Modelle.
- Agent-based_model sameAs Modelo_basado_en_agente.
- Agent-based_model sameAs エージェント・ベース・モデル.
- Agent-based_model sameAs 에이전트_기반_모델링.
- Agent-based_model sameAs Agent-gebaseerd_model.
- Agent-based_model sameAs Programowanie_agentowe.
- Agent-based_model sameAs m.03wsfv.
- Agent-based_model sameAs Q392811.
- Agent-based_model sameAs Q392811.
- Agent-based_model sameAs Agent-based_model.
- Agent-based_model wasDerivedFrom Agent-based_model?oldid=600481785.
- Agent-based_model isPrimaryTopicOf Agent-based_model.