There is a need for agent systems that can scale to realworld applications, yet retain the clean semantic underpinning of more formal agent frameworks. We describe the SRI Procedu...
We consider the problem of fairly dividing a heterogeneous divisible good among agents with different preferences. Previous work has shown that envy-free allocations, i.e., where...
Yuga J. Cohler, John K. Lai, David C. Parkes, Arie...
: This paper presents a method called "Situation Matching" that aids to improve cooperative tasks in heterogeneous multi-agent systems. The situation matching (SM) above ...
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
AbstractThis paper focuses on human-machine communication with intelligent agents, it proposes a generic architecture with an algorithm for natural language (NL) command interpreta...