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Tammar Shrot

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AAMAS Conference 2010 Conference Paper

On Agent Types in Coalition Formation Problems

  • Tammar Shrot
  • Yonatan Aumann
  • Sarit Kraus

Coalitions and cooperation are key topics in multi–agent systems (MAS). They enable agents to achieve goals that theymay not have been able to achieve independently. A rangeof previous studies have found that many problems in coalitional games tend to be computationally intractable - thatis, the computational complexity grows rapidly as a functionof the number of participating agents. However, these hardness results generally require that each agent is of a differenttype. Here, we observe that in many mas settings, while thenumber of agents may grow, the number of different types ofagents remains small. We formally define the notion of agenttypes in cooperative games. We then re-examine the computational complexity of the different coalition formationproblems when assuming that the number of agent typesis fixed. We show that most of the previously hard problems become polynomial when the number of agent typesis fixed. We consider multiple different game formulationsand representations (characteristic function with subadditive utilities, crg, and graphical representations) and several different computational problems (including stability, core-emptiness, and Shapley value).

AAMAS Conference 2009 Conference Paper

Easy and Hard Coalition Resource Game Formation Problems - A Parameterized Complexity Analysis

  • Tammar Shrot
  • Yonatan Aumann
  • Sarit Kraus

Coalition formation is a key topic in multi–agent systems (mas). Coalitions enable agents to achieve goals that they may not have been able to achieve independently, and encourages resource sharing among agents with different goals. A range of previous studies have found that problems in coalitional games tend to be computationally complex. However, such hardness results consider the entire input as one, ignoring any structural information on the instances. In the case of coalition formation problems, this bundles together several distinct elements of the input, e. g. the agent set, the goal set, the resources, etc. In this paper we reexamine the complexity of coalition formation problems in the coalition resources game model, as a function of their distinct input elements, using the theory of parameterized complexity. The analysis shows that not all parts of the input are created equal, and that many instances of the problem are actually tractable. We show that the problems are FPT in the number of goals, implying that if the number of goals is bounded then an efficient algorithm is available. Similarly, the problems are FPT in the combination of the number of agents and resources, again implying that if these parameters are bounded, then an efficient algorithm is available. On the other hand, the problems are para-NP hard in the number of resources, implying that even if we bound the number of resources the problems (probably) remain hard. Additionally, we show that most problems are W[1]-hard in the size of the coalition of interest, indicating that there is (probably) no algorithm polynomial in all but the coalition size. The exact definitions of the parameterized complexity notions FPT, Para-NP and W[1] are provided herein.

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