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Distributed planning algorithm for coalition logistics in semi-trusted environment (2006).
| Content Provider | CiteSeerX |
|---|---|
| Author | Rehák, Martin Pěchouček, Michal Volf, Premysl |
| Abstract | We present a collective approach to coalition logistics planning that presents the features crucial for application in an adversarial environment: planning and communication efficiency, well-defined levels of information to be shared, tight integration of trustfulness with the planning and stability with respect to unprecise trustfulness values. To achieve this goal, we combine multi-agent negotiation with efficient fuzzy and flexible linear programming techniques from operation research field. Alternating rounds of global optimization and restricted negotiation split the task into subtasks, create teams, assign them to the tasks and provide a task-resource mapping. Resulting plan execution can be easily verified and verification results can be used to update the trust and social models and potentially to perform re-planning immediately. |
| File Format | |
| Publisher Date | 2006-01-01 |
| Access Restriction | Open |
| Subject Keyword | Planning Algorithm Semi-trusted Environment Coalition Logistics Tight Integration Plan Execution Adversarial Environment Verification Result Well-defined Level Collective Approach Operation Research Field Global Optimization Efficient Fuzzy Task-resource Mapping Create Team Social Model Communication Efficiency Trustfulness Value Multi-agent Negotiation |
| Content Type | Text |
