Intelligent multi-agent systems offer a new architectural style for distributed and knowledge-intensive applications. Now that agent systems are applied on a wider industrial scale, there is a practical need for structured conceptual modelling methods, similar to what is in use for conventional large-scale information and knowledge systems. Such knowledge-level methods are still inadequate for ...

This paper surveys expert systems (ES) development using a literature review and classification of articles from 1995 to 2004 with a keyword index and article abstract in order to explore how ES methodologies and applications have developed during this period. Based on the scope of 166 articles from 78 academic journals (retrieved from five online database) of ES applications, this paper survey...

The paper presents an intelligent GIS architecture that enables us to extend GIS functionality by using domain specific knowledge and inference engine. In this architecture, an intelligent agent monitors events, which occur in the GIS environment, and execute tasks depending on user’s actions. The intelligent agent includes an expert system shell and knowledge base. A hybrid knowledge represent...

This paper describes a knowledge-based architecture, called curriculum tree, for building intelligent tutoring systems. Primarily based on the subject domain knowledge structure, the architecture naturally incorporates the global curriculum planning and monitors the local learning activities. The curriculum tree can also be viewed as a structure of various teaching knowledge at different stages...

This paper draws attention to the profound changes that human civilization is experiencing as it moves from an industrial environment into an information environment, in which unprecedented emphasis is placed on the knowledge and capabilities of the individual. A clear distinction is drawn between data and information in relationship to computer-based facilities, and the transition of data-proc...

With the expansion of power grid scale and deepening component coupling, operation behavior system becomes more complex, traditional function decoupling dispatching architecture is not available anymore. Firstly, this paper studies corresponding relationship between reinforcement learning method decision problem, constructs artificial intelligent knowledge model based on (AIDLM). Then, a data-d...

In this paper we have applied an interval representation of time to represent and reason about activities, events, actions and situations relevant to the construction domain. The first part of the paper formally defines the situational simulation environment and develops a set of temporal axioms which can be used to 1) Express precedence constraints between time intervals and 2) Capture the cau...