In this paper, we motivate the importance of the field of mobile computing and survey current practical and formal approaches. We argue that the existing formalisms are not suffic...
Klaus Bergner, Radu Grosu, Andreas Rausch, Alexand...
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
Abstract. This work considers the problem of approximating fixed predicate constraint satisfaction problems (MAX k-CSP(P)). We show that if the set of assignments accepted by P co...
This chapter describes a principled, yet computationally efficient way for a team of UAVs with Received Signal Strength Indicator (RSSI) sensors to locate radio frequency emitting...
Paul Scerri, Robin Glinton, Sean Owens, Steven Oka...
Multi-agent problem domains may require distributed algorithms for a variety of reasons: local sensors, limitations of communication, and availability of distributed computational...
Sean Luke, Keith Sullivan, Liviu Panait, Gabriel C...