Abstract. In this paper, we consider the issue of designing agents that successfully balance the amount of time spent in reconsidering their intentions against the amount of time s...
Service-based systems are distributed computing systems with the major advantage of enabling rapid composition of distributed applications, such as collaborative research and deve...
Stephen S. Yau, Haishan Gong, Dazhi Huang, Wei Gao...
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Currently web services composition problems are addressed using AI planning techniques . The team-based approach, with emphases on the sharing of mental models and proactive colla...
Xiaocong Fan, Karthikeyan Umapathy, John Yen, Sand...
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...