Intention is choice with commitment
Artificial Intelligence
Symbolic Boolean manipulation with ordered binary-decision diagrams
ACM Computing Surveys (CSUR)
The implicit set paradigm: a new approach to finite state system verification
Formal Methods in System Design - Special issue on symbolic model checking
Non-linear quantification scheduling in image computation
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Early Quantification and Partitioned Transition Relations
ICCD '96 Proceedings of the 1996 International Conference on Computer Design, VLSI in Computers and Processors
Verification of Synchronous Sequential Machines Based on Symbolic Execution
Proceedings of the International Workshop on Automatic Verification Methods for Finite State Systems
A Framework for Argumentation-Based Negotiation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
The RETSINA MAS Infrastructure
Autonomous Agents and Multi-Agent Systems
Weak, strong, and strong cyclic planning via symbolic model checking
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Argumentation-based dialogues for deliberation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
State-set branching: Leveraging BDDs for heuristic search
Artificial Intelligence
Journal of Artificial Intelligence Research
Multiagent argumentation for cooperative planning in DeLP-POP
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
An architecture for defeasible-reasoning-based cooperative distributed planning
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
Cooperative dialogues for defeasible argumentation-based planning
ArgMAS'11 Proceedings of the 8th international conference on Argumentation in Multi-Agent Systems
| Hi-index | 0.00 |
Coming up with a plan for a team that operates in a non-deterministic environment is a complex process, and the problem is further complicated by the need for team members to communicate while the plan is being executed. Such communication is required, for example, to make sure that information critical to the plan is passed in time for it to be useful. In this paper we present a model for constructing joint plans for a team of agents that takes into account their communication needs. The model builds on recent developments in symbolic non-deterministic planning, ideas that have not previously been applied to this problem.