The 17 revised full papers and 6 revised short papers presented together with 4 invited lectures were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on agent and data mining, agent competition and data mining, as well as text mining, semantic Web, and agents.

Since early 1990, multi-agent systems (MAS), data mining, and knowledge discovery (KDD) have remained areas of high interest in the research and development of intelligent information technologies. Indeed, MAS offers powerful metaphors for information system conceptualization, a range of new techniques, and technologies specifically focused on the design and implementation of largescale open distributed intelligent systems. KDD also provides intelligent information technology with powerful ideas, algorithms, and software means to help cope with the main problem of artificial intelligence, formulated in the wellknown question “Where does the knowledge come from?”, thus actually making modern applications intelligent and adaptive.