Intelligent agents: are they feasible in Swarm-array computing?
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Achieving intelligent agents and its feasibility in swarm-array computing?
WSEAS Transactions on Computers
Landscape of intelligent cores: an autonomic multi-agent approach for space applications
ACS'09 Proceedings of the 9th WSEAS international conference on Applied computer science
Situational programming: agent behavior visual programming for MABS novices
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
Evolution for modeling: a genetic programming framework for sesam
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Using cognitive agents in social simulations
Engineering Applications of Artificial Intelligence
IODA: an interaction-oriented approach for multi-agent based simulations
Autonomous Agents and Multi-Agent Systems
An agent-based simulation of payment behavior in e-commerce
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
Learning agent models in SeSAm
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
DIVAs 4.0: A Multi-Agent Based Simulation Framework
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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In this paper, we present the most important features of SeSAm, a modeling and simulation platform for multi-agent simulations. Based on a declarative, explicit model representation and visual programming, it allows implementing models on specification level. Optimizing compilation allows efficient simulation of the explicit model representation. It was successfully applied in different areas, like biology, traffic or logistics simulation.