In this paper, we present a social model for software agent conversations for action based on social commitments and their negotiation. We depart from the premises that conversati...
CT How can an adaptive intelligent interface decide what particular action to perform in a given situation, as a function of perceived properties of the user and the situation? Ide...
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Traditional problems in distributed systems include the Reliable Broadcast, Distributed Consensus, and Distributed Firing Squad problems. These problems require coordination only ...
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...