The Sixth Annual Knowledge-Based Software Engineering Conference (KBSE-91) was held at the Sheraton University Inn and Conference Center in Syracuse, New York, from Sunday afternoon, 22 September, through midday Wednesday, 25 September. The KBSE field is concerned with applying knowledge-based AI techniques to the problems of creating, understanding, and maintaining very large software systems.
"This comprehensive collection of essays presents the state of the art on this fascinating and challenging research topic. I recommend it to anyone who wants to understand how and why computers will eventually understand what it feels like to have a bad day at the office." Prices subject to change without notice. Since their inception in 1987, the Artificial Life meetings have grown from small workshops to truly international conferences, reflecting the field's increasing appeal to researchers in all areas of science.
Intelligent-agent technology is one of the most exciting, active areas of research and development in computer science and information technology today. The First Asia-Pacific Conference on Intelligent- Agent Technology (IAT'99) attracted researchers and practitioners from diverse fields such as computer science, information systems, business, telecommunications, manufacturing, human factors, psychology, education, and robotics to examine the design principles and performance characteristics of various approaches in agent technologies and, hence, fostered the cross-fertilization of ideas on the development of autonomous agents and multiagent systems among different domains.
Editor: We would like to thank you for your part in a recent result of special personal significance. The intensive mutual investigation inspired by our first meeting at a AAAI'87 reception has culminated in our marriage last week As we enjoy our honevmoon in Maui, we are grateful to you for helping us solve this previously open problem in parallel search Sincerely, lack Mostow and fanet Tyroler Mostow Rutgers University, Hill Center Busch Campus, Computer Science Dept New Brunswick, NJ 08903 Editor: The medium has misplaced the message [that should have appeared in Winter 1988, p. 41 that I am now an assistant professor at the Ohio State University's LAIR, where connectionism is merely irreverent, not irrelevant, to AI fordan Pollack Computer and Information Science Dept, The Ohio State University Columbus, OH 43210 Editor: The Winter 1988 issue of AI Magazine carried a report I coauthored reporting on the June, 1987 Workshop on Theoretical Issues in Conceptual Information Processing. Despite the many chances I had to fix the manuscript, I somehow managed to miss an error that crept in and changed the intended meaning rather drastically in the section "From the Workshop Chair," by B. Chandrasekaran. A sentence in that section as published reads: "The goal of these gatherings has been to understand intelligence and cognition as feasible computations as they apply to the construction of performance programs for narrowly defined tasks (expert systems)." The sentence as originally written by Chandrasekaran read: "The goal of these investigations has been understanding intelligence and cognition as feasible computations, as opposed to the construction of performance programs for narrowly defined tasks (expert systems) or formalization per se " As readers can see, quite a difference in meaning His goal was to characterize how the shared goals of the participants in the TICIP series differ from some other groups of researchers in AI.
These systems include networked building energy systems, autonomous space probes, chemical plant control systems, satellite constellations for remote ecosystem monitoring, power grids, biospherelike life-support systems, and reconfigurable traffic systems, to highlight but a few. Achieving these large-scale modeling and configuration tasks will require a tight coupling between the higher-level coordination function provided by symbolic reasoning and the lower-level autonomic processes of adaptive estimation and control. To be economically viable, they will need to be programmable purely through high-level compositional models. Self-modeling and self-configuration, autonomic functions coordinated through symbolic reasoning, and compositional, model-based programming are the three key elements of a model-based autonomous system architecture that is taking us into the new millennium.