Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Abstract. In this paper, we propose a general and abstract formal setting for argumentative dialogue protocols. We identify a minimal set of basic parameters that characterize dial...
Formal dialectic systems have been suggested as a means to model inter-agent communication in multi-agent systems. The formal dialectic systems of Hamblin are practical models for ...
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...