Michal Chalamish

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In this paper, we present AutoMed, an automated mediator for multi-issue bilateral negotiation under time constraints. AutoMed elicits the negotiators preferences and analyzes them. It monitors the negotiations and proposes possible solutions for resolving the conflict. We conducted experiments in a simulated environment. The results show that negotiations(More)
In this paper we report results of an extensive evaluation of people's ability to reproduce the strategies they use in simple real-life settings. Having the ability to reliably capture people's strategies in different environments is highly desirable in Multi-Agent Systems (MAS). However, as trivial and daily as these strategies are, the process is not(More)
Engaging in negotiations is a daily activity. Some negotiations require the involvement of a mediator in order to be concluded in a satisfying manner. In such cases, the objective is to help the negotiators reach a mutually beneficial agreement [6, 4]. Our research focuses on mediation tools for dealing with bilateral negotiations under time constraints.
The ability to reliably represent and replicate choices people make is crucial for building accurate models of day-today situations. The fact that people are inherently rationally-and computationally-bounded increases the difficulties in designing such simulations. This paper builds on the use of peer-designed agents (PDAs) – computer agents developed by(More)
The manual creation and update of a Wigmore Diagram (WD) is laborious and tedious. The system described in this paper supports the human user in building the diagram. The system transforms a list of evidence items into a WD semi-automatically by interleaving human effort and machine strength. This is done using a new data structure, a generalisation of a(More)