Time-dependent utility and action under uncertainty
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Artificial Intelligence
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Artificial Intelligence
Impact: A Platform for Collaborating Agents
IEEE Intelligent Systems
Reactive Control of Dynamic Progressive Processing
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Concurrent METATEM - A Language for Modelling Reactive Systems
PARLE '93 Proceedings of the 5th International PARLE Conference on Parallel Architectures and Languages Europe
Implementing Soft Real-Time Agent Control TITLE2:
Implementing Soft Real-Time Agent Control TITLE2:
Instructions-Based Semantics of Agent Mediated Interaction
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Coordination Artifacts: Environment-Based Coordination for Intelligent Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Handbook of Temporal Reasoning in Artificial Intelligence (Foundations of Artificial Intelligence (Elsevier))
Time-aware coordination in ReSpecT
COORDINATION'05 Proceedings of the 7th international conference on Coordination Models and Languages
Programming MAS with artifacts
ProMAS'05 Proceedings of the Third international conference on Programming Multi-Agent Systems
Modelling time in protensional agents
SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
ALBA: a generic library for programming mobile agents with prolog
ProMAS'06 Proceedings of the 4th international conference on Programming multi-agent systems
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
Dynamic context-aware Business Process flexibility: an artefact-based approach using process mining
International Journal of Business Intelligence and Data Mining
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Time-aware agents are agents capable of reasoning about their tasks duration and deadlines, and, more generally, to manage the temporal aspects of the execution of their tasks. We first focus on the case of agents in charge of long duration computations, sustaining that it is not acceptable for an autonomous agent to remain unaware of its environment for too long. We then consider deadline meetings when several time-aware agents share the same CPU. To achieve these goals, we recognize the importance of the artifact concept [16]. We introduce computational artifacts for long duration tasks and a coordination artifact for managing the CPU agenda and acting as an intermediary when agents negotiate CPU power. Control of computational artifacts is done thanks to a set of operating instructions dynamically computed by the coordination artifact.