Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!utgpu!water!watmath!clyde!cbatt!ucbvax!STRIPE.SRI.COM!Ted.Kamins From: Ted.Kamins@STRIPE.SRI.COM.UUCP Newsgroups: comp.ai.digest Subject: Seminar - BB* Layered Environment for AI Systems (HP) Message-ID: <12300606371.16.KAMINS@Sierra.Stanford.EDU> Date: Thu, 7-May-87 22:08:52 EDT Article-I.D.: Sierra.12300606371.16.KAMINS Posted: Thu May 7 22:08:52 1987 Date-Received: Wed, 13-May-87 02:23:52 EDT Sender: daemon@ucbvax.BERKELEY.EDU Reply-To: KAMINS@Sierra.Stanford.EDU Distribution: world Organization: The ARPA Internet Lines: 47 Approved: ailist@stripe.sri.com HEWLETT-PACKARD LABORATORIES COMPUTER COLLOQUIUM Speaker: Barbara Hayes-Roth Senior Research Associate Stanford Knowledge Systems Lab Subject: BB*: A modular and layered environment for AI systems Time: Thursday, May 14, 1987, 4 pm Place: Hewlett-Packard 5M Auditorium 1501 Page Mill Road Palo Alto Non-HP Employees: Welcome! Please come to the lobby shortly before 4 pm so that you can be escorted to the auditorium. Refreshments will be served following the talk. Host: Barry Bronson (857-3033) Stanford contact: Ted Kamins (kamins@sierra) Abstract: An intelligent system reasons about--controls, explains, learns about--its actions, thereby improving its efforts to achieve goals and function in its environment. In order to perform effectively, a system must have knowledge of the actions it can perform, the events and states that can occur, and the relationships among instances of those actions, events, and states. The BB* environment represents this knowledge in an abstraction hierarchy and defines uniform standards of knowledge content and representation for modules within each of three hierarchical levels: architecture, framework, and application. The speaker will illustrate BB* with some of its current modules: (a) the BB1 blackboard control architecture; (b) the ACCORD framework for arrangement-assembly tasks; and (c) several domain-specific applications of BB1-ACCORD. BB* advantages for system representation and performance, system design and implementation, reusable knowledge modules, and open systems integration will be discussed. -------