Goal-orientated Conversational Agents are a specific family of conversational agents that are designed to converse with humans through the use of natural language dialogue to achieve a specific task. Traditionally, they utilise pattern matching algorithms to capture the values of specific attributes through their values through dialogue interaction with a user. This is achieved through the use ...

This project applies expert system technology to the task of searching online collections of documents . We are developing an intelligent search intermediary to help end-users locate relevant passages in large fulltext databases. Our expert system will automatically reformulate conte.xtual Boolean queries to improve search results and will present re~rieved passages in decreasing order of relev...

An Intelligent Tutoring Agent (ITA) for the board game Settlers of Catan (SoC) is introduced. It uses CLIPS knowledge bases, connected by JCLIPS to a JAVA implementation of SoC. It is founded on a new theoretical framework that describes the development of negotiation skills in children. Using this framework, the ITA helps children in developing negotiation skills through play, which makes it u...

Measures of quantity of information have been studied extensively for more than fifty years. The seminal work on information theory is by Shannon [67]. This work, based on probability theory, can be used in a logical setting when the worlds are the possible events. This work is also the basis of Lozinskii’s work [48] for defining the quantity of information of a formula (or knowledgebase) in pr...

One of the most difficult problems in the development of intelligent systems is the construction of the underlying knowledge base. As a consequence, the rate of progress in the development of this type of system is directly related to the speed with which knowledge bases can be assembled, and on its quality. We attempt to solve the knowledge acquisition problem, for a Business Information Syste...

In this chapter we present the method for designing intelligent problem solvers (IPS), especially those in education. An IPS, which is an intelligent system, can consist of AIcomponents such as theorem provers, inference engines, search engines, learning programs, classification tools, statistical tools, question-answering systems, machinetranslation systems, knowledge acquisition tools, etc (S...

Recent developments within Ambient Intelligence (AmI) provide new possibilities to contribute to personal care, e.g. [1,2,6,7]. For example, our car may monitor us and warn us when we are falling asleep while driving. Similarly, the workspace of a technical worker may monitor the person’s stress level, and provide support in case it is too high. As another example, an elderly person may wear a ...

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 knowledgedriven process can be enormous and may include common-sense knowledge. If a process’ knowledge cannot be represented feasibly, then that process cannot be ...

Intelligence can be defined, informally, as knowing a lot and being able to use that knowledge flexibly to achieve one's goals. In this sense it is clear that knowledge is central to intelligence. However, it is less clear exactly what knowledge is, what gives it meaning, and how it can be efficiently acquired and used. In this talk we reexamine aspects of these age-old questions in light of mo...

The paper proposes a new approach to the design of open intelligent information systems based on artificial intelligence techniques. This approach is referred too as the open intelligent information systems architecture (OIISA) proposes a mechanism for the effective partitioning of the knowledge base and a framework by which separate knowledge bases (which in themselves can be distinct knowledg...