We study peer-to-peer service networks consisting of autonomous agents who seek and provide services. To fulfill its local needs, an agent attempts to discover and select informa...
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
The Autonomous Sciencecraft Experiment (ASE), currently flying onboard the Earth Observing-1 (EO1) spacecraft, integrates several autonomy software technologies enabling autonomou...
Daniel Tran, Steve A. Chien, Rob Sherwood, Rebecca...
The goal of autonomic computing is to create computing systems capable of managing themselves to a far greater extent than they do today. This paper presents Unity, a decentralize...
Gerald Tesauro, David M. Chess, William E. Walsh, ...
In this paper, we investigate a model of a combinatorial, procurement multi-attribute auction, in which each sales item is defined by several attributes called quality, the buyer...
In prior work we established how physicomimetics can be used to self-organize hexagonal and square lattice formations of mobile robots. In this paper we extend the framework to mo...
William M. Spears, Rodney Heil, Diana F. Spears, D...
Most people have long term information interests. Current Web search engines satisfy immediate information needs. Specific sites support tracking of long term interests. We prese...
We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-is...
This paper describes our work constructing a generalized framework for modeling multi agent interactions in education-related applications. Historically, interactive learning syst...