Collective robotics: from social insects to robots
Adaptive Behavior
Swarm intelligence
From Natural to Artificial Swarm Intelligence
From Natural to Artificial Swarm Intelligence
Using Artificial Physics to Control Agents
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Ant Colony Optimization
Distributed, Physics-Based Control of Swarms of Vehicles
Autonomous Robots
Distributed agent evolution with dynamic adaptation to local unexpected scenarios
WRAC'05 Proceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems
Actuation Constraints and Artificial Physics Control
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Toward human interaction with bio-inspired teams
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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We present two key components of a principled method for constructing modular, heterogeneous swarms. First, we generalize a well-known technique for representing swarm behaviors to extend the power of multiagent systems by specializing agents and their interactions. Second, a novel graph-based method is introduced for designing swarm-based behaviors for multiagent teams. This method includes engineer-provided knowledge through explicit design decisions pertaining to specialization, heterogeneity, and modularity. We show the representational power of our generalized representation can be used to evolve a solution to a challenging multiagent resource protection problem. We also construct a modular design by hand, resulting in a scalable and intuitive heterogeneous solution for the resource protection problem.