Strategic Negotiation in Multiagent Environments

By Sarit Kraus. Intelligent robots and autonomous agents, 2001

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A fuzzy constraint based model for bilateral, multi-issue negotiations in semi-competitive environments (2003, background): “The third category consists of argumentation/persuasion-based models [28] [29] [42] in which agents use various types of argument, such as threats, rewards and appeals, to persuade their opponent to accept a deal they would not previously have countenanced.”
A Classification Scheme for Negotiation in Electronic Commerce (2001, background): “For these reasons, the formalisation of negotiation has received a great deal of attention from the multi-agent systems community throughout the past two decades [DS83, KL89, KM90, RZ94, Kra01, JFL + 01].”
Trust in multi-agent systems (2004, unknown): “2001; Kraus , 2001).”
Argumentation-based negotiation (2003, methodology): “These include: game-theoretic analysis (Kraus, 2001; Rosenschein and Zlotkin, 1994; Sand-holm, 2002b); heuristic-based approaches (Faratin, 2000; Fatima et al., 2002; Kowalczyk and Bui, 2001); and argumentation-based approaches (Kraus et al., 1998; Parsons et al., 1998; Sierra et al., 1998).”
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity (2017, background): “A typical situation where non-stationary multi-agent learning plays an important role is automated negotiation and e-negotiation systems (Jennings et al., 2001; Kraus, 2001).”