Progressing intention progression: a call for a Goal-Plan Tree contest

Logan, Brian; Thangarajah, John; Yorke-Smith, Neil

Abstract

User-supplied domain control knowledge in the form of hierarchically structured Goal-Plan Trees (GPTs) is at the heart of a number of approaches to reasoning about action. Reasoning with GPTs connects the AAMAS community with other communities such as automated planning, and forms the foundation for important reasoning capabilities, especially intention progression in Belief-Desire-Intention (BDI) agents. Research on GPTs has a long history but suffers from fragmentation and lack of common terminology, data formats, and enabling tools. One way to address this fragmentation is through a competition. Competitions are increasingly being used as a means to foster research and challenge the state of the art. For example, the AAMAS conference has a number of associated competitions, such as the Trading Agent Competition, while agent research is showcased at competitions such as RoboCup. We therefore issue a call for a Goal-Plan Tree Contest, with the ambition of drawing together a community and incentivizing research in intention progression.

Citation

Logan, B., Thangarajah, J., & Yorke-Smith, N. Progressing intention progression: a call for a Goal-Plan Tree contest. Presented at 16th International Conference on Autonomous Agents and Multiagent Systems

• Conference Name: 16th International Conference on Autonomous Agents and Multiagent Systems
• End Date: May 12, 2017
• Acceptance Date: Jan 25, 2017
• Publication Date: May 8, 2017
• Deposit Date: Apr 6, 2017
• Publicly Available Date: May 8, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: intention progression; goal-plan trees; competition
• Public URL: https://nottingham-repository.worktribe.com/output/859717
• Publisher URL: http://www.aamas2017.org/proceedings/pdfs/p768.pdf
• Related Public URLs: http://www.aamas2017.org/
• Contract Date: Apr 6, 2017