This paper presents the development of an Intelligent Cavity Layout Design System (ICLDS) for multiple cavity injection moulds. The system is intended to assist mould designers in cavity layout design at concept design stage. The complexities and principles of cavity layout design as well as various dependencies in injection mould design are introduced. The knowledge in cavity layout design is ...

Understanding how humans manage information and carry out actions provides a foundation for the software engineering of intelligent control systems. The Real-time Control System (RCS) design methodology and reference architecture, founded on human information management concepts, provides a domain independent approach to the acquisition and representation of expert knowledge and supports implem...

The proposed Universal Intelligent Interface (UII) consists in two parts. One is a universal part, another is a problem depended part. UII, modeling user in the Frame Network User Model (FNUM), is designed as a shell system which supports a knowledge base and a number of learning agents. The system treats separately (not necessary independently) various elements of user model within the frames ...

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...

Knowledge sharing in communities has attracted much attention in the field of knowledge management in research and practice. In this paper we outline a view where the community lifecycle is supported at different stages. The central component of our framework is the community ontology SWRC+COIN that describes the typical structure of communities. We exemplarily show how communities in the acade...

Decision Support Systems under Multiple Objectives (MODSS) has been classified as a specific type of system within the broad family of DSS and has been one of the most active areas of research. However, despite its theoretical development large scale real-world applications of multi-objective decision making (MODM) methods had been seriously lacking due to the technical knowledge and expertise ...

In this paper we present three approaches towards adaptive speech understanding. The target system is a model-based Adaptive Spoken Dialogue Manager, the OwlSpeak ASDM. We enhanced this system in order to properly react on non-understandings in real-life situations where intuitive communication is required. OwlSpeak provides a model-based spoken interface to an Intelligent Environment depending...

Intelligent tutoring systems assist medical faculty in training and equipping students with the required clinical reasoning skills. Plausible student solutions to a given problem are rejected by tutoring systems as being incorrect, if they do not match a specific solution accepted by the tutoring system. This leads to brittleness in evaluating student solutions. In this paper we describe a comb...

Most of the recently developed intelligent systems have a knowledge base that incorporates the expertise domain knowledge and use it in reasoning chains during decision making. An important problem that should be solved by an intelligent system is forecasting the evolution of specific parameters that are monitored, for example. Among the various approaches that provide an efficient solution to ...

Development of expert systems involves knowledge acquisition which can be supported by applying machine learning techniques. This paper presents the basic idea of using decision-tree induction in process optimization and development of the domain model of electrochemical machining (ECM). It further discusses how decision-tree induction is used to build and refine the knowledge base of the proce...