However, extended object-oriented oday, object-oriented programming important and powerful programming Italy, Sweden, the United languages and systems have paradigm, especially for Kingdom, and the United States were been developed that are adequate to the development of complex systems, invited to the workshop. This article handle AI applications. AI, raised and the major points made programming, a case of objectoriented however, is looking for knowledge during the presentations of the eight programming that has a representation and programming papers in the workshop's four sessions. AI, does not satisfy distributed AI applications and uses constructs (for The workshop started with an requirements because it lacks representation, example, frames) and notions (for introduction by Ibrahim in which he communication, and organization. Ibrahim posed a to the object-based concurrent The one-day workshop entitled number of questions related to the programming paradigm to close the Objects and AI, held in Sydney, Australia, theme of the workshop and asked gap with distributed AI, such as the on 25 August 1991 in conjunction the participants to address some of introduction of more powerful object with the 1991 International these questions during their talks and representations, a social theory of Joint Conference on Artificial Intelligence, discussion.

This article summarizes the findings of a 1992 study of knowledge-based systems research and applications in Japan. Representatives of universities and businesses were chosen by the Japan Technology Evaluation Center to investigate the state of the technology in Japan relative to the United States. The panel's report focused on applications, tools, and research and development in universities and industry and on major national projects.

Real-time problem solving is not only reasoning about time, it is also reasoning in time. This ability is becoming increasingly critical in systems that monitor and control complex processes in semiautonomous, ill-structured, real-world environments. Many techniques, mostly ad hoc, have been developed in both the real-time community and the AI community for solving problems within time constraints. However, a coherent, holistic picture does not exist. This article is an attempt to step back from the details and examine the entire issue of real-time problem solving from first principles. We examine the degrees of freedom available in structuring the problem space and the search process to reduce problem-solving variations and produce satisficing solutions within the time available. This structured approach aids in understanding and sorting out the relevance and utility of different real-time problem-solving techniques.

The Hong Kong-based Mass Transit Railway Corp. (MTRC) has developed the Station Management Expert e Norwegian Police Data Center help predict aircraft fires and other System (SMES). SMES is an intelligent utilized an expert system to catastrophes. The police put and risk factors from the records functions and advising the controller the intelligent application online to of the National Transportation Safety of actions to take in case of emergency. The system is installed in Ya Ma at the games while complying with Carnegie Group and Westinghouse Tei Station as a test site, and the complex national employment regulations. Electric (both in Pittsburgh, Penn.) are MTRC plans to expand its use Plans are to deploy and network working with Pittsburgh area medical throughout the subway system as it the expert system into every law centers to develop an intelligent proves to be successful. The network Martin Marietta (Bethesda, Md.) is developed a neural network application will gather and organize data on using a real-time expert system to that has improved the efficiency clinical diagnoses, treatment, clinical build the Traffic Operations Center of its direct mail marketing efforts by and research findings, and patient (TOC) component of its Intelligent 35%.

Science deals with knowledge of the material world based on objective reality. It is under constant attack by those who need magic, that is, concepts based on imagination and desire, with no basis in objective reality. A convenient target for such people is speculation on the machinery and method of operation of the human mind, questions that are still obscure in 1994. In The Emperor's New Mind, Roger Penrose attempts to look beyond objective reality for possible answers, using, in his argument, the theory that computers will never be able to duplicate the human experience. This article attempts to show where Penrose is in error by reviewing the evolution of men and computers and, based on this review, speculates about where computers might and might not imitate human perception. It then warns against the dangers of passive acceptance when respected scientists venture into the occult.

The First covered genetic algorithms, neural elements called alpha helices and International Conference on Intelligent networks, and linguistic methods for beta sheets can be predicted with Systems for Molecular Biology sequence analysis. Invited speakers, some success, using algorithms that (ISMB-93), held 6-9 July 1993 at the who opened each day of the conference, examine a window of surrounding Lister Hill Center of the National were Temple Smith (Boston primary sequence.

We recommend doesn't carry the day. The robot swallow something that's not particularly that those inclined to study must be able to use Q to arrive at its savory: a contradiction.

The problem of predicting the motion of a vehicle has been investigated by several researchers. Many have used Kalman filter techniques based on the equations of vehicle motion; these techniques most accurately predict shortterm motion. In contrast, my dissertation (Krozel 1992)1 presents a methodology for intelligent path prediction, where predicting the motion of an observed vehicle is performed by reasoning about the decision-making strategy of the vehicle's operator.

The Association for the Advancement of Artificial Intelligence sponsored a number of workshops in conjunction with the Eleventh National Conference on Artificial Intelligence held 11-15 July 1993 in Washington, D.C. This article contains reports of four of the workshops that were conducted: AI Models for System Engineering, Case-Based Reasoning, Reasoning about Function, and Validation and Verification of Knowledge Based Systems.

The Association for the Advancement of Artificial Intelligence held its 1993 Fall Symposium Series on October 22-24 in Raleigh, North Carolina. This article contains summaries of the six symposia that were conducted: Automated Deduction in Nonstandard Logics; Games: Planning and Learning; Human-Computer Collaboration: Reconciling Theory, Synthesizing Practice; Instantiating Intelligent Agents; and Machine Learning and Computer Vision: What, Why, and How?