This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
Location awareness is a crucial part of the context-awareness mechanism for ubicomputing. This paper explores how usefull is the location awareness history for an office based low...
To understand the dynamics of a running program, it is often useful to examine its state at specific moments during its execution. We present memory graphs as a means to capture an...
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...