Abstract
Human users planning for multiple objectives in coalition environments are subjected to high levels of cognitive workload, which can severely impair the quality of the plans created. The cognitive workload is significantly increased when a user must not only cope with a complex environment, but also with a set of unaccustomed rules that prescribe how the coalition planning process must be carried out. In this context, we develop a prognostic assistant agent that takes a proactive stance in assisting cognitively overloaded users by providing timely support for normative reasoning-reasoning about prohibitions and obligations.
Original language | English |
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Title of host publication | International Conference on Autonomous Agents and Multiagent Systems |
Subtitle of host publication | AAMAS 2011 Advanced Agent Technology |
Publisher | Springer |
Pages | 503-504 |
Number of pages | 2 |
Volume | 7068 |
ISBN (Electronic) | 978-3-642-27216-5 |
ISBN (Print) | 9783642272158 |
DOIs | |
Publication status | Published - 2012 |
Event | International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2011 - Taipei, Taiwan, Province of China Duration: 2 May 2011 → 6 May 2011 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 7068 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Conference on Autonomous Agents and Multi-Agent Systems, AAMAS 2011 |
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Country/Territory | Taiwan, Province of China |
City | Taipei |
Period | 2/05/11 → 6/05/11 |
Bibliographical note
Funding Information:This research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence and was accomplished under Agreement Number W911NF-09-2-0053. The views and conclusions contained in this document are those of the author(s) and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Army Research Laboratory, the U.S. Government, the U.K. Ministry of Defence or the U.K. Government. The U.S. and U.K. Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.
Advanced Agent Technology - AAMAS 2011 Workshops, AMPLE, AOSE, ARMS, DOCM3AS, ITMAS, Revised Selected Papers
Keywords
- Constraint satisfaction problems
- normative reasoning
- remedial action
- norm violation
- plan step