Intention is choice with commitment
Artificial Intelligence
AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Representation and reasoning for goals in BDI agents
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Intentional Agents and Goal Formation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Structuring BDI Agents in Functional Clusters
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Goal-Oriented Requirements Engineering: A Guided Tour
RE '01 Proceedings of the Fifth IEEE International Symposium on Requirements Engineering
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Coo-AgentSpeak: Cooperation in AgentSpeak through Plan Exchange
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
A Flexible BDI Architecture Supporting Extensibility
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Goals in agent systems: a unifying framework
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Suspending and resuming tasks in BDI agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Goal-Oriented Interaction Protocols
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Detecting & avoiding interference between goals in intelligent agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Commitment and effectiveness of situated agents
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Asymmetry thesis and side-effect problems in linear-time and branching-time intention logics
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Reactive reasoning and planning
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Interest-Based negotiation as an extension of monotonic bargaining in 3APL
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Goal representation for BDI agent systems
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
A goal deliberation strategy for BDI agent systems
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
Operational behaviour for executing, suspending, and aborting goals in BDI agent systems
DALT'10 Proceedings of the 8th international conference on Declarative agent languages and technologies VIII
Rich goal types in agent programming
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Towards reasoning with partial goal satisfaction in intelligent agents
ProMAS'10 Proceedings of the 8th international conference on Programming Multi-Agent Systems
Relating goal and commitment semantics
ProMAS'11 Proceedings of the 9th international conference on Programming Multi-Agent Systems
Goal delegation without goals: BDI agents in harmony with OCMAS principles
MATES'12 Proceedings of the 10th German conference on Multiagent System Technologies
An operational semantics for the goal life-cycle in BDI agents
Autonomous Agents and Multi-Agent Systems
Hi-index | 0.00 |
In BDI systems, agents are described using mentalistic notions such as beliefs and goals. According to the intentional stance this helps specifying and understanding complex behavior, because the system is made up of folk psychological concepts that humans naturally tend to use for explaining reasoning and behavior and therefore can easily grasp. To close the gap between the natural usage of the term goal and its operationalization within agent systems, BDI goals should reflect the typical characteristics of goals in the folk psychological sense, which is not completely the case for existing BDI goal representations. Hence, in this paper desirable features of BDI goals are presented and important aspects that are currently not covered in existing specifications are further elaborated. Concretely, the representation and processing of BDI goals is extended supporting also long-term and interest goals. The usefulness of the newly gained expressivity will be illustrated by an example application, implemented in the Jadex BDI agent system.