APT Agents: Agents That Are Adaptive, Predictable, and Timely
FAABS '00 Proceedings of the First International Workshop on Formal Approaches to Agent-Based Systems-Revised Papers
Panel Discussion: Future Directions
FAABS '00 Proceedings of the First International Workshop on Formal Approaches to Agent-Based Systems-Revised Papers
Distributed, Physics-Based Control of Swarms of Vehicles
Autonomous Robots
A Fluid Dynamics Approach to Multi-Robot Chemical Plume Tracing
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Physicomimetics for Mobile Robot Formations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Gradual spatial pattern formation of homogeneous robot group
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent embedded agents
Requirements of an integrated formal method for intelligent swarms
Proceedings of the 10th international workshop on Formal methods for industrial critical systems
Case studies for self-organization in computer science
Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Nature-inspired applications and systems
Simulating mobile robots for undergraduate research
Journal of Computing Sciences in Colleges
A geometric approach to deploying robot swarms
Annals of Mathematics and Artificial Intelligence
A global optimization based on physicomimetics framework
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Journal of Artificial Intelligence Research
Gradual spatial pattern formation of homogeneous robot group
Information Sciences: an International Journal
On mass effects to artificial physics optimisation algorithm for global optimisation problems
International Journal of Innovative Computing and Applications
An analytical and spatial model of foraging in a swarm of robots
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
Coordination and control of multi-agent dynamic systems: models and approaches
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
Flocking algorithm with multi-target tracking for multi-agent systems
Pattern Recognition Letters
The vector model of artificial physics optimization algorithm for global optimization problems
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
A generalized graph-based method for engineering swarm solutions to multiagent problems
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Pheromone robotics and the logic of virtual pheromones
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
An overview of physicomimetics
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Two formal gas models for multi-agent sweeping and obstacle avoidance
FAABS'04 Proceedings of the Third international conference on Formal Approaches to Agent-Based Systems
A formal analysis of potential energy in a multi-agent system
FAABS'04 Proceedings of the Third international conference on Formal Approaches to Agent-Based Systems
Agent-based chemical plume tracing using fluid dynamics
FAABS'04 Proceedings of the Third international conference on Formal Approaches to Agent-Based Systems
Self-organizing spatial shapes in mobile particles: the TOTA approach
Engineering Self-Organising Systems
A Theoretical Framework for Estimating Swarm Success Probability Using Scouts
International Journal of Swarm Intelligence Research
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We introduce a novel framework called ``artificial physics'', which provides distributed control of large collections of agents. The agents react to artificial forces that are motivated by natural physical laws. This framework provides an effective mechanism for achieving self-assembly, fault- tolerance, and self-repair. Examples are shown for various regular geometric configurations of agents. A further example demonstrates that self-assembly via distributed control can also perform distributed computation.