The work reported in this paper serves to promote an Intelligent Planning System that can operate in dynamic and uncertain environments. We can develop and justify thus a series of modelling and design techniques for Intelligent Knowledge Management Systems (IKMS), as well as methods for the...

Understanding, defining and using knowledge can be based on a number of many approaches, such as the synthesis of Knowledge Management Systems, Knowledge Agents, Knowledge Discovery and Data Mining, Organizational Semantic Webs. Knowledge is based on the accumulation of facts, procedural rules...

Business Process Management Systems (BPMS) provide a broad range of facilities to manage operational business processes. These systems should provide support for the complete Business Process Management (BPM) life-cycle (16): (re)design, configuration, execution, control, and diagnosis of...

Computational Intelligence (CI) is a new development paradigm of intelligent systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics,...