Consul: a communication substrate for fault-tolerant distributed programs
Consul: a communication substrate for fault-tolerant distributed programs
Improving fault-tolerance by replicating agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
From Active Objects to Autonomous Agents
IEEE Concurrency
A Planning Component for RETSINA Agents
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
An Approach for Adaptive Fault-Tolerance in Object-Oriented Open Distributed Systems
WORDS '97 Proceedings of the 3rd Workshop on Object-Oriented Real-Time Dependable Systems - (WORDS '97)
Monitoring and Organizational-Level Adaptation of Multi-Agent Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
SEAGENT: a platform for developing semantic web based multi agent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Implementing a multi-agent organization that changes its fault tolerance policy at run-time
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Dynamic resource allocation heuristics for providing fault tolerance in multi-agent systems
Proceedings of the 2008 ACM symposium on Applied computing
Experience with Feedback Control Mechanisms in Self-replicating Multi-Agent Systems
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Computing the fault tolerance of multi-agent deployment
Artificial Intelligence
Replication Based on Role Concept for Multi-Agent Systems
ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
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Effective fault-handling in emerging complex applications in large-scale MAS (Multi-agent Systems) requires the ability to dynamically adapt resource allocation and fault tolerance policies in response to changes in environment, user or application requirements, and available resources. This adaptation process incorporates an observation mechanism that transparently monitors the application's behaviors as well as the availability of resources, and adaptively reconfigures the system resources. This process is realized by a specific module which exploits the information resulting from monitoring. In this paper, we present an approach for adaptive replication. This approach uses an observation mechanism and a feedback control system within an adaptive replication infrastructure to support adaptive fault tolerance in multi-agent organizations. The main strategy used in our approach is to insert control theory methodology and analysis to adaptive replication. Thus, our approach provides a systematic and scientific method for implementing adaptive fault tolerance policies in MAS.