The calculi of emergence: computation, dynamics and induction
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Computer rendering of stochastic models
Communications of the ACM
Cyberoos'2001: "Deep Behaviour Projection" Agent Architecture
RoboCup 2001: Robot Soccer World Cup V
Flexible Synchronisation within RoboCup Environment: A Comparative Analysis
RoboCup 2000: Robot Soccer World Cup IV
Complexity Metrics for Self-monitoring Impact Sensing Networks
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Self-Organizing Hierarchies in Sensor and Communication Networks
Artificial Life
The RoboCup synthetic agent challenge 97
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
On convergence of dynamic cluster formation in multi-agent networks
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Towards adaptive clustering in self-monitoring multi-agent networks
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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This paper presents a new multi-agent physics-based simulation framework (DISCOVERY), supporting experiments with self-organizing underwater sensor and actuator networks. DISCOVERY models mobile autonomous underwater vehicles, distributed sensor and actuator nodes, as well as multi-agent data-to-decision integration. The simulator is a real-time system using a discrete action model, fractal-based terrain modelling, with 3D visualization and an evaluation mode, allowing to compute various objective functions and metrics. The quantitative measures of multi-agent dynamics can be used as a feedback for evolving the agent behaviors. An evaluation of a simple simulated scenario with a heterogeneous team is also described.