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Content archived on 2024-06-18

Verification Approaches for Planning in Agent programming languages

Objective

"As computation becomes more distributed and the information landscape more complex with the increasing amount of information being shared and distributed online, agent-based computation has become a key technology. Recent advances in agent- based software include techniques for verification of a Multiagent Systems (MAS) using model checking, as well as the ability to generate new plans at runtime to allow a agent to cope with unforeseen circumstances. Although model-checking techniques have been employed in the context of planning within a single entity in a fully observable domain in classic AI, agents in a MAS system do not share all their information, and thus operate with only partial information about other agents within the system. The introduction of planning to MAS programming languages have opened new possibilities for the development of flexible systems, however, the planning techniques currently available for MAS planning are still relatively inefficient. In the VAPA project, we aim to improve on the effectiveness of MAS planning under incomplete information by drawing on experiences that have been learned in classical planning via model checking, namely the work of Cimati et al. We thus aim to bring these advances to the MAS setting by designing planning algorithms based on a MAS model checker by mapping MAS planning problems into a model checker such as Model Checker for Multiagent Systems (MCMAS)."

Fields of science (EuroSciVoc)

Topic(s)

Call for proposal

FP7-PEOPLE-2011-IIF
See other projects for this call

Funding Scheme

MC-IIF - International Incoming Fellowships (IIF)

Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
EU contribution
€ 209 033,40
Address
SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
SW7 2AZ London
United Kingdom
Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data