Illustrating evolutionary computation with Mathematica
Illustrating evolutionary computation with Mathematica
Business Dynamics
Computational & Mathematical Organization Theory
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Ant Colony Optimization
A Fictitious Play Approach to Large-Scale Optimization
Operations Research
Digital pheromones for coordination of unmanned vehicles
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
Real-time agent characterization and prediction
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
E Pluribus Unum: Polyagent and Delegate MAS Architectures
Multi-Agent-Based Simulation VIII
Prediction Horizons in Agent Models
Engineering Environment-Mediated Multi-Agent Systems
Hybrid multi-agent systems: integrating swarming and BDI agents
ESOA'06 Proceedings of the 4th international conference on Engineering self-organising systems
Pheromones, probabilities, and multiple futures
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
Computers in Industry
Representing dispositions and emotions in simulated combat
DAMAS'05 Proceedings of the 2005 international conference on Defence Applications of Multi-Agent Systems
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Agents are a powerful tool for systems modeling. Instantiating each domain entity with an agent captures many aspects of system dynamics and interactions that other modeling techniques do not. However, an entity's agent can execute only one trajectory per run, and so does not capture the alternative trajectories accessible in the evolution of any realistic system. Averaging over multiple runs does not capture the range of individual interactions. We address these problems with a new modeling construct, the polyagent, which represents each entity with a single persistent avatar supported by a swarm of transient ghosts. Each ghost interacts with the ghosts of other avatars through digital pheromone fields, capturing a wide range of alternative trajectories in a single run of the system that can proceed faster than real time.