Theory for coordinating concurrent hierarchical planning agents using summary information
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Conflicts within and for collaboration
Conflicting agents
Evaluating new options in the context of existing plans
Artificial Intelligence
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Open protocol design for complex interactions in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Programming agent deliberation: an approach illustrated using the 3APL language
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Detecting & exploiting positive goal interaction in intelligent agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Performance of Coordinating Concurrent Hierarchical Planning Agents Using Summary Information
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
An Empirical Evaluation of Reasoning about Resource Conflicts
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Semantics of declarative goals in agent programming
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
From team plan to individual plans: a petri net-based approach
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Detecting & avoiding interference between goals in intelligent agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A goal deliberation strategy for BDI agent systems
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
Theoretical and experimental results on the goal-plan tree problem
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Motivations as an Abstraction of Meta-level Reasoning
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
Constrained rationality: formal goals-reasoning approach to strategic decision & conflict analysis
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An Alternative Approach for Reasoning about the Goal-Plan Tree Problem
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
An alternative approach for reasoning about the goal-plan tree problem
LADS'10 Proceedings of the Third international conference on Languages, methodologies, and development tools for multi-agent systems
A formal framework for reasoning about goal interactions
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Generating decision makers' preferences, from their goals, constraints, priorities and emotions
BI'11 Proceedings of the 2011 international conference on Brain informatics
Modeling and analyzing agents' collective options in collaborative decision making
BI'11 Proceedings of the 2011 international conference on Brain informatics
An integrated formal framework for reasoning about goal interactions
DALT'11 Proceedings of the 9th international conference on Declarative Agent Languages and Technologies
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Agent-oriented programming languages have gone a long way in the level of sophistication offered to programmers, and there has also been much progress in tools to support multi-agent systems development using such languages. However, much work is still required in mechanisms that can reduce the burden, typically placed on programmers, of ensuring that agents behave rationally, hence being effective and as efficient as possible. One such mechanisms is reasoning about declarative goals, which is increasingly appearing in the agents literature; it allows agents to make better use of resources, to avoid plans hindering the execution of other plans, and to be able to take advantage of opportunities for reducing the number of plans that have to be executed to achieve certain combinations of goals. In this paper, we introduce a Petri-net based approach to such reasoning, and we report on experimental results showing that this technique can obtain comparable improvements on an agent's behaviour to other existing approaches (our experiments do not yet cover reasoning about resource usage). Our long-term goal is to provide a number of alternative approaches for such reasoning, evaluate and compare their performances under different configurations, and incorporate them into interpreters for agent-oriented programming languages in such a way that the most appropriate approach is used at given circumstances.