Emergent cooperative goal-satisfaction in large-scale automated-agent systems
Artificial Intelligence
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Emergent ad hoc sensor network connectivity in large-scale disaster zones
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Convoy protection by self-organized teams of UAVs
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Critical sensor density for partial connectivity in large area wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 0.00 |
We introduce the Consensual N-Player Prisoner's Dilemmaas a large-scale dilemma. We then present a framework for cooperative consensus formation in large-scale MAS under the N-Person Prisoner's Dilemma. Forming consensus is performed by demonstrating the applicability of a low-complexity physics-oriented approach to a large-scale ad hoc network problem. The framework is based on modeling cooperative MAS by a physics percolation theory. According to the model, agent-systems inherit physical properties, and therefore the evolution of the computational systems is similar to the evolution of physical systems. Specifically, we focus on the percolation theory, the emergence of self-organized criticality, and the exploitation of phase transitions. We provide a detailed low-ordered algorithm to be used by a single agent and implement this algorithm in our simulations. Via these approaches we demonstrate effective message delivery in a large-scale ad hoc network that consists of thousands of agents.