Mark E. Lacy is manager of computational texts will be needed, and hopefully,

Mark E. Lacy is manager of computational texts will be needed, and hopefully,

Fields 3-8 of table 1 of the survey and general results, a discussion represent purposes, specifically, to define of the four hypotheses, and two sections models (field 3), prove theorems about the at the end of the article that contain details of models (field 4), present algorithms (field 5), the survey and statistical analyses. The next analyze algorithms (field 6), present systems section (The Survey) briefly describes the 16 or architectures (field 7), and analyze them substantive questions I asked about each (field 8). These purposes are not mutually paper. One of the closing sections (An Explanation exclusive; for example, many papers that of the Fields in Table 1) discusses the present models also prove theorems about criteria for answering the survey questions the models.

Advocates and critics of AI have long engaged in a debate that has generated a great deal of heat but little light. Whatever the merits of specific contributions to this ongoing debate, the fact that it continues points to the need for a reflective examination of the foundations of AI by its active practitioners. Following the lead of Earl MacCormac, we hope to advance such a reflective examination by considering questions of metaphor in science and the computational metaphor in AI. Specifically, we address three issues: the role of metaphor in science and AI, an examination of the computational metaphor, and an introduction to the possibility and potential value of using alternative metaphors as a foundation for AI theory.

AAAI Officials In the lead article, Paul Cohen analyzes over 1.50 papers that were I am pleased to welcome two new members of our editorial staff. Elaine Rich and Ramesh Patil are associate editors and will Ramesh received his Ph.D. at the I look forward to working closely with Elaine and Ramesh.

Mark E. Lacy is manager of computational texts will be needed, and hopefully,

Capturing Knowledge from Databases members as it becomes available.

Artificial Intelligence 51, pp. 95-143

In Langton, C., Taylor, C., Farmer, J. D., and Ramussen, S. (Eds.), Artificial Life II, pp. 487–509. Addison-Wesley

Master’s report, Computer Science Division, University of California.