Methods for task allocation via agent coalition formation
Artificial Intelligence
Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
Agent-Driven Online Business in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Coalition Formation for Large-Scale Electronic Markets
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
The Effect of Mediated Partnerships in Two-Sided Economic Search
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Filtering Algorithm for Agent-Based Incident Communication Support in Mobile Human Surveillance
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
Analysing partner selection through exchange values
MABS'05 Proceedings of the 6th international conference on Multi-Agent-Based Simulation
Agents' strategies for the dual parallel search in partnership formation applications
AAMAS'04 Proceedings of the 6th AAMAS international conference on Agent-Mediated Electronic Commerce: theories for and Engineering of Distributed Mechanisms and Systems
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The process of pair partnership formation is an important infrastructure for many plausible MAS applications. Each agent evaluates potential partner agents, where each potential match yields a different utility. Commonly, the utility associated with a given agent partner in such two-sided search processes may change over time. This change in the agentýs future attractiveness to potential partners significantly increases the complexity of the agentýs decision making process regarding the set of agents it is willing to partner with. In this paper we analyze the special dynamics and present equilibrium characteristics of such a model. The agents can gain a utility derived from the partner agentýs type. However, as an agent has an incentive to extend its search for a better type partner, the benefit that can be offered to potential partners reduces as the search proceeds. We introduce a two-sided model which takes into consideration a continuous decrease in the agentýs type and formulate the appropriate equilibrium equations. The suggested equilibrium analysis yields an algorithm for the calculation of the agentsý equilibrium strategy. Special emphasis is placed on the scenario where an agentýs attractiveness is influenced by an additional dimension other than just time. Simulation results are presented to illustrate the findings.