Selecting learning algorithms for the design of virtual players in natural resources managment platforms (2009)
- Authors:
- Autor USP: SICHMAN, JAIME SIMAO - EP
- Unidade: EP
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
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ABNT
MULLER, Guillaume Wolfgang e SICHMAN, Jaime S. Selecting learning algorithms for the design of virtual players in natural resources managment platforms. 2009Tradução . . Acesso em: 06 nov. 2024. -
APA
Muller, G. W., & Sichman, J. S. (2009). Selecting learning algorithms for the design of virtual players in natural resources managment platforms. -
NLM
Muller GW, Sichman JS. Selecting learning algorithms for the design of virtual players in natural resources managment platforms. 2009 ;[citado 2024 nov. 06 ] -
Vancouver
Muller GW, Sichman JS. Selecting learning algorithms for the design of virtual players in natural resources managment platforms. 2009 ;[citado 2024 nov. 06 ] - Modeling organization in MAS: a comparison of models
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- A philosophical perspective of multiagent-based simulation in the social sciences
- Computer science epistemology in agent-based social simulation: computation, simulation and intention
- Simulation as formal and generative social science: the very idea
- An experiment on the role of cognition power on the evolution of cooperation in n-players prisoner's dilemma
- Organizational modeling dimensions in multiagent systems
- PartNET++: simulating multiple agent partnerships using dependence graphs
- AguAloca e Teraguas: processos de experimentação de modelagem de acompanhamento na gestão compartilhada de recursos hídricos no alto tietê
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