Our purpose is to improve the design of Decision Support Systems (DSS), Knowledge Base Systems (KBS) and Intelligent Decision Support Systems (IDSS). To achieve this goal we define life-cycle processes of designing DSS and the actors they involved. We would like to provide support to knowledge engineers at the beginning of the process. This paper presents a conceptual framework to model man-mac...

Agricultural knowledge is a special kind of domain knowledge, and is a significant basis for agricultural knowledge-based intelligent information service system. This paper presents main results of our ongoing project of Agricultural Knowledge Processing and Applications (AKPA): 1) An agriculture-specific ontology, 2) A method for agricultural knowledge acquisition and representation, 3) An exp...

One common way of conceiving the knowledge-based systems approach to AI is as the attempt to give an artificial agent knowledge that P by putting a (typically linguaform) representation that means P into an epistemically privileged database (the agent’s knowledge base). That is, the approach typically assumes, either explicitly or implicitly, that the architecture of a knowledge-based system (i...

This paper provides an overview of a variety of applications of knowledge-based systems and intelligent agents to modeling and simulation for special operations training. There are a number of ways in which intelligent agents can support training; including modeling special-operations individuals, other members of the blue forces, as well as opponent forces. The paper presents examples of each ...

This paper presents an approach for providing explanation to the intelligent diagnosis and monitoring of business workflows based on operation data in the form of temporal log data. The representation of workflow related case knowledge in this research using graphs is explained. Workflow cases are represented in terms of events and their corresponding temporal relationships. The matching and CB...

this study proposes a modified version of cultural algorithms (cas) which benefits from rule-based system for influence function. this rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. this is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. this rule ...

of independent intelligent systems to cooperate in solving problems that require their combined abilities. Among the workshop’s principal topics of interest were (1) architectures and frameworks for combining and integrating independent intelligent systems to enable them collectively to solve more complex problems, (2) knowledge-level analyses of the components that belong to such cooperative s...

In this paper, we present an agent-based approach for the improvement of searching in an ontology-based knowledge management system. The system implements a library scenario in which users query the repository for knowledge resources. Consequently, the so-called Librarian Agent plays the role of the human librarian in the traditional library – it uses all possible information, about the domain ...