Intention is choice with commitment
Artificial Intelligence
Why interaction is more powerful than algorithms
Communications of the ACM
A distributed object-oriented framework for dependable multiparty interactions
Proceedings of the 14th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
On agent-based software engineering
Artificial Intelligence
Towards a fault-tolerant multi-agent system architecture
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Rigorous Development of an Embedded Fault-Tolerant System Based on Coordinated Atomic Actions
IEEE Transactions on Computers - Special issue on fault-tolerant embedded systems
A fault-tolerant multi-agent framework
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Reasoning with Logic Programming
Reasoning with Logic Programming
Fault Injection Techniques and Tools
Computer
Beyond the Plan-Length Criterion
ECAI '00 Proceedings of the Workshop on Local Search for Planning and Scheduling-Revised Papers
From Experimental Assessment of Fault-Tolerant Systems to Dependability Benchmarking
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Propositional planning in BDI agents
Proceedings of the 2004 ACM symposium on Applied computing
The dMARS Architecture: A Specification of the Distributed Multi-Agent Reasoning System
Autonomous Agents and Multi-Agent Systems
The control of reasoning in resource-bounded agents
The Knowledge Engineering Review
Issues in Multiagent System Development
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Autonomous Agents and Multi-Agent Systems
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This paper describes the use of fault tolerance in a multi-agent system. Such an approach is based on the modeling of autonomous agents with planning capabilities. These capabilities are used by the agent to recover from faults occurring in its surrounding environment, e.g. hardware faults, or in its internal representation thereof, e.g. software faults. The expected fault-tolerant behavior is tested using fault injection either in the system described by the agent or in the environment in which the agent (system) is embedded into.