Practical planning: extending the classical AI planning paradigm
Practical planning: extending the classical AI planning paradigm
O-Plan: the open planning architecture
Artificial Intelligence
PLACA, an agent oriented programming language
PLACA, an agent oriented programming language
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AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
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AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Heterogeneous active agents, I: semantics
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ACM Transactions on Computational Logic (TOCL)
Artificial Intelligence
Planning in a multi-agent environment: theory and practice
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Autonomous Agents and Multi-Agent Systems
Heterogeneous Multimedia Reasoning
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IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
The LPSAT Engine & Its Application to Resource Planning
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Scaling up Planning by Teasing out Resource Scheduling
ECP '99 Proceedings of the 5th European Conference on Planning: Recent Advances in AI Planning
A Planning Component for RETSINA Agents
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Total-order planning with partially ordered subtasks
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Planning in a multi-agent environment: theory and practice
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Theoretical and Empirical Aspects of a Planner in a Multi-agent Environment
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
A Computational Logic Approach to Heterogenous Agent Systems
LPNMR '01 Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning
Logic-based specification languages for intelligent software agents
Theory and Practice of Logic Programming
Multi-Agent Systems Specification and Certification: A Situation and State Calculus Approach
Annals of Mathematics and Artificial Intelligence
Heterogeneous temporal probabilistic agents
ACM Transactions on Computational Logic (TOCL)
Decomposition of planning problems
AI Communications
Goals in the context of BDI plan failure and planning
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Stratified Multi-agent HTN Planning in Dynamic Environments
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
First principles planning in BDI systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Hybrid BDI-POMDP framework for multiagent teaming
Journal of Artificial Intelligence Research
Planner9, a HTN Planner Distributed on Groups of Miniature Mobile Robots
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Agents, multi-agent systems and declarative programming: what, when, where, why, who, how?
A 25-year perspective on logic programming
ProMAS'09 Proceedings of the 7th international conference on Programming multi-agent systems
A BDI agent programming language with failure handling, declarative goals, and planning
Autonomous Agents and Multi-Agent Systems
Annals of Mathematics and Artificial Intelligence
A new HTN planning framework for agents in dynamic environments
CLIMA IV'04 Proceedings of the 4th international conference on Computational Logic in Multi-Agent Systems
Dynagent: an incremental forward-chaining HTN planning agent in dynamic domains
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
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In this paper we describe a formalism for integrating the SHOP HTN planning system with the IMPACT multi-agent environment. We define the A-SHOP algorithm, an agentized adaptation of the SHOP planning algorithm that takes advantage of IMPACT's capabilities for interacting with external agents, performing mixed symbolic/numeric computations, and making queries to distributed, heterogeneous information sources (such as arbitrary legacy and/or specialized data structures or external databases). We show that A-SHOP is both sound and complete if certain conditions are met.