Automated negotiation is a key form of interaction in systems that are composed of multiple autonomous agents. The aim of such interactions is to reach agreements through an itera...
Peyman Faratin, Carles Sierra, Nicholas R. Jenning...
Proper scoring rules, particularly when used as the basis for a prediction market, are powerful tools for eliciting and aggregating beliefs about events such as the likely outcome...
A continuing problem in business today is the design of human-computer systems that respect how work actually gets done. The overarching context of work consists of activities, wh...
William J. Clancey, Patricia Sachs, Maarten Sierhu...
Current state-of?the-art spoken dialog systems are aimed at handling telephone calls to automate incoming caller requests. In this paper we explore a scenario which is symmetric t...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...