Ofra Amir deleted sectionSelfIntereste.tex  over 9 years ago

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In_this_paper_we.tex  sectionReducing_Opti.tex  Theorem_maximum_soci.tex  sectionSelfIntereste.tex  Some_algorithms_for_.tex  figures/selfInterested1/selfInterested1.png  sectioniBundle_for_M.tex           

\section{Self-Interested MAPF}  MAPF algorithms have largely focused on a cooperative setting in which solutions aim at minizing the total cost for all agents. In such settings, agents are willing to incur a higher cost (i.e., take a longer path) to decrease the total cost of all agents. However, there are many settings in which agent may be self-interested, seeking to minimize their own costs without considering other agents' welfare. For example, if rovers of different research organizations are operating on mars, they might want to traverse a path that is optimal for them and not consider other rovers. Self-interested behavior by agents can lead to suboptimal outcomes and reduced social welfare~\cite{bnaya2013multi}.   %Each agent has a goal.   %Agents want to reach their goal with minimum cost.