Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
Sz-Ting Tzeng, Nirav Ajmeri, Munindar P. Singh

TL;DR
This paper introduces Exanna, a framework for agents that incorporate values into decision making and rationales, improving social interactions and conflict resolution in multiagent simulations.
Contribution
The paper presents Exanna, a novel framework enabling agents to consider values in decision making and rationales, enhancing social experience and conflict resolution.
Findings
Higher conflict resolution in multiagent interactions
Improved social experience through value-based rationales
Increased privacy and flexibility for agents
Abstract
We propose Exanna, a framework to realize agents that incorporate values in decision making. An Exannaagent considers the values of itself and others when providing rationales for its actions and evaluating the rationales provided by others. Via multiagent simulation, we demonstrate that considering values in decision making and producing rationales, especially for norm-deviating actions, leads to (1) higher conflict resolution, (2) better social experience, (3) higher privacy, and (4) higher flexibility.
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Taxonomy
TopicsExperimental Behavioral Economics Studies
