ADAPT: Abstraction hierarchies to succinctly model teamwork

Meirav Hadad, Avi Rosenfeld

Research output: Contribution to conferencePaperpeer-review


In this paper we present a lightweight teamwork implementation through use of abstraction hierarchies. The basis of this implementation is ADAPT, which supports Autonomous Dynamic Agent Planning for Teamwork. ADAPT's novelty stems from how it succinctly decomposes teamwork problems into two separate planners: a task network for the set of activities to be performed by a specific agent and a separate group network for addressing team organization factors. Because abstract search techniques are the basis for creating these two components, ADAPT agents are able to effectively address teamwork in dynamic environments without explicitly enumerating the entire set of possible team states. During run-time, ADAPT agents then expand the teamwork states that are necessary for task completion through an association algorithm to dynamically link its task and group planners. As a result, ADAPT uses far fewer team states than existing teamwork models. We describe how ADAPT was implemented within a commercial training and simulation application, and present evidence detailing its success in concisely and effectively modeling teamwork.

Original languageEnglish
Number of pages2
StatePublished - 2011
Externally publishedYes
Event10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 - Taipei, Taiwan, Province of China
Duration: 2 May 20116 May 2011


Conference10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011
Country/TerritoryTaiwan, Province of China


  • Agent cooperation
  • Simulation techniques
  • Tools and environments


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