Value-Based Rationales Improve Social Experience: A Multiagent Simulation Study
This work addresses social experience and conflict resolution in multiagent systems, though it appears incremental as it builds on existing value-based and rationale-based methods.
The researchers tackled the problem of improving social interactions in multiagent systems by proposing Exanna, a framework where agents incorporate values into decision-making and rationales. They demonstrated through simulation that this approach leads to higher conflict resolution, better social experience, increased privacy, and greater flexibility.
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.