Modeling of emotional-social negotiator agents

Abstract

Social intelligence is the ability of manage and improve one's relation with others which can lead to better joint performance in a group. Social intelligence can improve agents' interaction in a multi-agent system. Negotiation is a multi-agent system in which agents are cooperating to reach a joint agreement as well as gain more individual utility. This situation has great potential for conflict between social and individual goals. In this paper, in order to compromise to reach both social and individual goals, emotional-social agents are proposed to manage negotiation interactions. Experimental results show that emotional-social negotiator agents reach fair agreement, and also achieve more individual gain.

Machine Understanding in Agent-Directed Simulation: State-of-the-Art and Research Directions

“…Agent simulation is already used to implement understanding human emotions including emotional intelligence, namely understanding emotions of others as well as of self [16,17]. Some other examples are: simulation of an anger agent [6], a team's interaction [18,22], emotional-social negotiator agent [33], emotion modeling [4,18,19,20] and emotion processing [17,36].…”

Agent-based automated persuasion with adaptive concessions tuned by emotions

“…In the same vein, by equipping an agent with emotion-driven concessions, a commitment is shown to the human rival that the agent's persuasion actions will be mixed with emotional and rational elements. This commitment may be helpful for reducing goal conflicts and promote the human rival to compromise with the agent towards mutually satisfactory agreements (Ramezani et al 2011;Martinovski 2010). Thus, the second objective of this paper is to model persuasion and concessions dependent on an agent's emotional states (i.e., emotional persuasion).…”