The complexity of reasoning is a fundamental issue in AI. In many cases, the fact that an intelligent system needs to perform reasoning on-line contributes to the diiculty of this reasoning. This paper considers the case in which an intelligent system computes whether a query is entailed by the system's knowledge base. It investigates how an initial phase of oo-line preprocessing and design can...

This paper describes a research program for the creation of a large-scale model of language comprehension for use in the development of language enabled intelligent agents. The language comprehension system is being implemented using the ACT-R cognitive architecture and modeling environment and adopts the cognitive principles and constraints of that architecture. The paper focuses on issues ari...

The goal of intelligent manufacturing system is akin to any normal manufacturing system satisfying customer needs at the most efficient level for lowest possible cost. The involvement of computers as in the computer-integrated manufacturing has been for more than 20 years; the incorporation of computer technology does not necessarily result in intelligent manufacturing system. It is the introdu...

Many Advanced Driver Assistance Systems (ADAS) have been developed to improve car safety. A Knowledge Base is indispensable for autonomous vehicles to perceive driving environments and understand traffic regulations. In this paper, we introduce an ontology-based Knowledge Base, which contains maps and traffic regulations. By accessing to the Knowledge Base, the intelligent vehicles can aware ov...

In the intelligent design of motorcycle, a large number of data in the simulation or physical experiment are almost not utilized to guide our design and make decision for the design, so rough set theory is introduced to the intelligent design of motorcycle. Then, aim at experimental data of the engine piston performance, rough set theory is used. An attribute reduction algorithm of decision tab...

Domain knowledge acquisition is a very important and time-consuming process in intelligent tutoring system design. Furthermore, for many ill-defined domains, domain knowledge is hard to define explicitly. To address this problem, we proposed a data mining framework for extracting partial task models from recorded user interactions. This article describes improvements made to the framework and i...

The paper is focusing on transportation system architecture for intelligent management, especially in sea transport and transportation technology. Moreover control models of large-scale distributed enterprises systems and transport active knowledge base management model have been presented.

The next generations of Geometrical Product Specification (GPS) standards are considered to be too theoretical, abstract, complex and over-elaborate. And it is not easier for industry to understand and implement them efficiently in a short time. An intelligent knowledge-based system, “VirtualSurf” is being developed to solve the problem, particularly for surface texture knowledge, which is a cr...

The past decade has seen the emergence of programs that make use of large knowledge bases to assist physicians in diagnosis within the general field of internal medicine. One such program, Internist-I, contains knowledge about over 600 diseases, covering a significant proportion of internal medicine. This paper describes the process of converting a subset of this knowledge base--in the area of ...

Emergent processes are business processes whose execution is determined by the prior knowledge of the agents involved and by the knowledge that emerges during a process instance. The amount of process knowledge that is relevant to a knowledge-driven process can be enormous and may include common sense knowledge. If a process’ knowledge can not be represented feasibly then that process can not b...