Adopting a divide and conquer strategy to solve the multi agent coordination problem has proven to be an effective alternative [21]. The use of goal ...
May 21, 2024 · Multiagent planning in AI is the cooperation and harnessing of the capabilities of many agents in a collective effort to achieve the same objective.
First, we demonstrate intuitively through simple examples that plan solutions depend on the goals of all the agents. We also present the formal notion of a ...
A Distributed Planning Approach Using Multiagent Goal Transformations · Michael T. CoxMohammad M. ElahiKevin Cleereman. Computer Science. MAICS. 2003. TLDR.
In this paper, we propose a new planning method that transforms multiagent planning problems into single-agent problems and builds on the above observations.
This introduction gives a brief overview of multiagent planning problems, and most multiagent planning techniques.
A promi- nent approach in the development of CPPP algorithms is to use components from single agent planners and adapt them to preserve privacy. In this short ...
In this paper, we suggest an approach to multi- agent planning that contains heuristic elements. Our method makes use of subgoals, and derived sub-plans,.
In this paper, we investigate the multi-agent mission planning and control problem under coordination constraints such as collision avoidance and spatial ...
Missing: Transformations. | Show results with:Transformations.
Agents in the RANDOM multi- agent system delegate goals to a randomly selected agent, do not share flow-affected regions' knowl- edge with others, and always ...