Negotiation planning: An AI approach☆
References (31)
NEGO — group decision support system
Information and Management
(1985)- et al.
Generalized approach to modelling negotiations
European Journal of Operational Research
(1986) Case-based reasoning: A computer model of subjective assessment
Derivational analogy: A theory of reconstructive problem solving and expertise acquisition
- et al.
How Arbitration Works
(1972) - et al.
Bivariate negotiations as a problem of stochastic terminal control
Management Science
(1983) - et al.
Conflict Analysis, Models and Resolutions
(1984) The computer as a third party
CHEF: A model of case-based planning
- et al.
Collective Bargaining and Labor Relations
(1981)
MEDIATOR: Towards a negotiation support system
Decisions with Multiple Objectives
Retrieval and Organizational Strategies in Conceptual Memory: A Computer Model
A process model of case-based reasoning in problem solving
Logic-based tools for negotiation support
Cited by (83)
Integrative negotiation model to support water resources management
2017, Journal of Cleaner ProductionCitation Excerpt :However, there are Negotiation Support Systems that can assist the DMs to overcome these difficulties in multi-attribute negotiations. These include those put forward by Fatima et al. (2004); Sycara (1990, 1991). Having concluded the negotiation, the main responsibilities and actions that the representatives must meet and fulfil are set out in a written agreement.
Systematic resolution of conflict situations in collaborative facility design
2008, International Journal of Production EconomicsCitation Excerpt :The task of the third-party negotiator is to assist the conflicting entities in the conflict resolution process. In computer-supported conflict resolution, third-party intervention can be implemented using heuristics, knowledge-based interactions, multi-agent systems, or case-base reasoning (Sycara, 1990). Mcr(3): Incorporation of additional parties.
CAKES-NEGO: Causal knowledge-based expert system for B2B negotiation
2008, Expert Systems with ApplicationsAn intelligent agent negotiation strategy in the electronic marketplace environment
2008, European Journal of Operational ResearchCitation Excerpt :In the context of cooperative game theory (Heiskanen et al., 2001; Heiskanen, 1999; Kalai, 1977; Ponsati and Watson, 1997; Myerson, 1981; Ehtamo et al., 2001; Peters, 1986; Raith, 2000), researchers have laid focus on the design of methods that lead to Pareto-optimal solutions by assuming that agents cooperate and can solve multi-criteria-decision-making problems. Several AI research groups have studied multi-issue negotiations carried out by autonomous agents (Faratin et al., 1998; Kraus and Lehmann, 1995; Fatima et al., 2002, 2004; Luo et al., 2003; Li and Tesauro, 2003; Sycara, 1989, 1990). Usually they aim at designing automated multi-issue negotiation models and tractable negotiation strategies, while they often utilise heuristic or learning methods in this respect.
Automating Prognostics and Prevention of Errors, Conflicts, and Disruptions
2023, Springer HandbooksAgent Reasoning in AI-Powered Negotiation
2021, Handbook of Group Decision and Negotiation: Second Edition
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This research was funded in part by the Army Research Office under Contract No. DAAG 29-85-K-00230.