Abstract. The algorithm selection problem aims to select the best algorithm for an input problem instance according to some characteristics of the instance. This paper presents a l...
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
— Enhancement of dining environment by information technology is explored in this paper. A table system to recommend additional dishes according to the dining status is introduce...
One of the challenges in designing distributed, embedded systems is the paucity of formal, executable specification notations that provide support for both real-time and asynchron...