This article presents a summary of past and current artificial intelligence research within the Computer Science Department at East Texas State University (ETSU). The Computer Science Department at ETSU offers a master of science degree with an emphasis in artificial intelligence. AI research, both past and present, has been funded by a grant from E-Systems, Greenville Division. AI research projects thus far have been implemented in Domain LISP on an Apollo DN300 computer system provided by E-Systems. Other computing facilities available for artificial intelligence research are four workstations, each providing up to 20 users with LISP and PROLOG interpreters. Involved in the research are faculty and students at ETSU and personnel from E-Systems.

AI Magazine Volume 7 Number 1 (1986) ( AAAI) of the crucial terms involved in his analysis, such as "probability" Mauadne 4(4):7-14 falsity of his claims is often impossible to assess. Nute, Donald k. '(1980) Topics in conditional logic Dordrecht, Holland: conceptions upon which his view is based do indeed conform M. Ringle, (Ed.), Philosophical Perspectives in Artificial Intelligence traditional conceptions should not be taken for granted, Terry L. Rankin his observation that "Probability theory is today our primary At hens, Georgia such as "average" and "likely," and therefore it is the most natural language for describing those aspects of (heuristic) performance that we seek to improve" (p. Artificial Intelligence and Robotics: On general theoretical grounds, I think, there are excellent Five Overviews. Busi-reasons to suppose that (a)-(f) are fundamental ness/Technology Books; 1984. Gevarter's work was published by the National that serious difficulties seem to confront the theoretical Bureau of Standards as a set of five volumes, and this book, framework he apparently endorses, where these difficulties published by Business/Technology Books, is Gevarter's are especially severe from an epistemological perspective.

Twenty-five years ago I had a dream, a daydream, if you will. A dream shared with many of you. I dreamed of a special kind of computer, which had eyes and ears and arms and legs, in addition to its "brain." I did not dream that this new computer friend would be a means of making money for me or my employer or a help for my country - though I loved my country then and still do, and I have no objection to making money. I did not even dream of such a worthy cause as helping the poor and handicapped of the world using this marvelous new machine. No, my dream was filled with the wild excitement of seeing a machine act like a human being, at least in many ways.

The Knowledge-Based Editor in Emacs (KBEmacs) is the current demonstration system implemented as part of the Programmer's Apprentice project. KBEmacs is capable of acting as a semiexpert assistant to a person who is writing a program, taking over some parts of the programming task. The abilities of KBEmacs stem directly from a few key AI ideas. However, in many ways KBEmacs does not appear to be an AI system, because its abilities are limited and because (like many applied AI systems) the AI ideas are buried in a large volume of code that has little relevance to AI. The primary goal of this article is to present the AI ideas behind KBEmacs. In addition, the construction of applied AI systems is discussed, in general, using the development of KBEmacs as a case history

The Center for Automation and Intelligent Systems monocrystal turbine blades for jet engines that are made Research at Case Western Reserve University, founded by investment casting. Essentially, the part is made by in 1984, provides the setting and the administrative and pouring liquid metal into a ceramic mold, but the environment funding mechanisms for coordinating and focusing the capabilities in which this is done must be tightly controlled. of faculty members and students from many There are several other subprocesses that are also tightly disciplines and departments to deal with significant realworld controlled, such as making the mold. The total process is too complex for a single expert The center serves as an interface between separate system; rather, several different expert systems are needed basic research efforts in the various disciplines and academic and should be coordinated in some way, perhaps by a more departments and the multidisciplinary group efforts global expert system. Currently, we are constructing an needed to deal effectively with nontrivial real problems. Wax patterns appear to be essential for the factory of the future.

John Haugeland's discussion is generally very clear, concrete, accurate, and interesting. My main regret is that he does not take the space to more fully explore certain ideas.

Most high-performance expert systems rely primarily porations, describe the reasoning styles currently used by on an ability to represent surface knowledge about associations people, and show how some of these assessments can be between observable evidence or data, on the one addressed by extending existing AI techniques. Although the present generation of practical systems qualitative causal models in an expert system-remains a shows that this architectural style can be pushed speculative subject. The larger firms are subject to intense captured in the second model would be selected to complement scrutiny by armies of financial analysts, and even the the associational knowledge represented in the first smaller corporations have creditors of various sorts who module. The details of Simulation models have been especially attractive the procedures used to make assessments vary according choices for the complementary representation because of to the specific objective of the analyst. It might be that an the causal relations embedded in them (Brown & Burton, equity investment is under consideration, that a loan request 1975; Cuena, 1983).

In fact, such a pattern can itself be considered a frame, where the position of each pixel is a slot, and the shade or A recent article by Ronald Brachman (Brachman, color at each pixel is then the attached value. It should 1985) points out some philosophical or semantic problems then be possible to represent this pattern as I have just in using the notion of a prototype, which is described by described it-z.e., by a frame representing the background, using default properties. The problem arises since default partially obscured or covered by a frame representing the properties can be overridden or cancelled in representing object of interest, partially obscured or covered by some particular instances, and therefore lack definitional power: other objects. The fact that some part of the object of interest is obscured does not mean that it is no longer there, nor As an example, Brachman presents an elephant joke: that it is not intrinsic to the object's definition. Q: What's big and gray, has a trunk, and lives in the trees?

The Advanced Computational Methods Center (ACMC) established at the University of Georgia in 1984, supports several research projects in artificial intelligence. The primary goal of AI research at ACMC is the design and installation of a logic-programming environment with advanced natural language processing and knowledge-acquisition capabilities on the university's highly parallel CYBERPLUS system from Control Data Corporation. This article briefly describes current research projects in artificial intelligence at ACMC

Public opinion about artificial intelligence is schizophrenic. "It will never work" versus "It might cost me changes that are daily taking place in the This dichotomy of attitudes reflects a collective world because we read about them and know confusion about AI.