Machine learning in agent-based stochastic simulation: Inferential theory and evaluation in transportation logistics

Computers and Mathematics with Applications

Volumn 64, Issue 12, 2012, Pages 3658-3665

  Wojtusiak, Janusz ^a   Warden, Tobias ^b   Herzog, Otthein ^b  

^a GEORGE MASON UNIVERSITY   (United States)

^b UNIVERSITY OF BREMEN   (Germany)

Author keywords

Autonomous logistics; Inferential theory of learning; Machine learning; Multiagent systems; Multiagent based simulation

Indexed keywords

AGENT BASED; AGENT BASED SIMULATION; DYNAMIC ASPECTS; ENVIRONMENT CONDITIONS; INFERENTIAL THEORY OF LEARNING; KNOWLEDGE SPACES; LEARNING PROCESS; MULTI AGENT BASED SIMULATIONS; PREDICTIVE MODELS; PROBABILISTIC LEARNING; REAL WORLD ENVIRONMENTS; STOCHASTIC ENVIRONMENT; STOCHASTIC SIMULATIONS; TRANSPORTATION-LOGISTICS;

AUTONOMOUS AGENTS; ELECTRIC SHIP EQUIPMENT; INTELLIGENT AGENTS; MULTI AGENT SYSTEMS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

LEARNING SYSTEMS;

EID: 84870236735     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2012.01.079     Document Type: Article

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