execution of LISP on a list directed architecture. Proceedings Symposium on Architectural Support for Programming Languages and Operating Systems. Palo Alto, California, March 1982. ACM SIGPLAN Notices, Vol. 17, No. 4, April 1982. 15.3.2] Schaefer, D. & Fischer, J.: Beyond the supercomputer. IEEE Spectrum, Vol. 19, No. 3, March 1982. [10] Smith, C.: The power of parallelism for automatic program synthesis. Proc. 22nd Ann. Sympo. on Found. of Computer Science, 1981. [9] Smith, J. & Tharp, A.: A microcomputer system for processing natural languages. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. PAMI-4, No. 2, March 1982. [8, 10] Spector, D.: Minimal overhead garbage collection of complex list structure. ACM SIGPLAN Notices, Vol. 17, No. 3, March 1982. ]5.3.2] Sridharan, N.: Performance enhancement for AIMDS. Rutgers University, NJ, LCSR, CBM-TM-93, 1982. [5.3.2, 6, 9] Uhr, L.: Parallel-serial production systems. Proc. 6th IJCAI-79, Tokyo, Aug. 1979. [6, 9] Yasaki, E.; Tokyo looks to the '90s. Datamation. January 1982. [6, 9] [] Start organizing very early. It takes m u c h m o r e real time to select speakers, prepare materials, take care of A C M requirements, prepare outlines for the proceedings, etc., than t h e a m o u n t o f subjective time o n e devotes to the project. [] Select the speakers carefully. A tutorial is not the s a m e as a research paper session. Presentation style and organization o f t h e material in a clear, even entertaining m a n n e r is of p a r a m o u n t importance. My three colleagues performed a c o m m e n d a b l e job in selecting and presenting their material. [] Prepare all slides in BIG print. C o n f e r e n c e r o o m s for tutorials are quite large, and projection screens are usually m u c h too small. [] Expect an audience of varied background, from P h D ' s in C o m p u t e r Science to sales m a n a g e r s w h o s e only previous contact with AI m a y be an article in Newsweek. [] Select well defined, self contained topics, rather t h a n such speculative topics as "AI and future society". -- Jaime Carbonell A NOTE ON THE AI TUTORIAL AT THE ACM At t h e Los Angeles national A C M conference in N o v e m b e r , 1981, S I G A R T s p o n s o r e d a two-part All tutorial session. This note reports briefly on that session and outlines s o m e useful pointers for a n y o n e organizing future AI tutorials at A C M conferences. T h e AI tutorial was divided into two two-hour sessions: 1. N a t u r a l L a n g u a g e P r o c e s s i n g -- focusing on s o m e f u n d a m e n t a l notions o f parsing and inference, and on h o w to build simple applied language interpretation systems. Lecturers: Gary Hendrix and Jaime Carbonell 2. Expert S y s t e m s -- focusing on rule-based inference techniques, propagation of certainty, and on characterizing t h e d o m a i n of problems suitable for an e x p e r t - s y s t e m s approach. Lecturers: Bruce Buchanan and Richard Duda Both sessions were fairly well attended, and, I believe, m u c h m o r e informative to a n o n - A I audience t h a n a regular AI paper session. T h e r e are m a n y A C M m e m b e r s w h o wish to learn m o r e about AI, but have n o c o n v e n i e n t m e a n s o f doing so, other than attending tutorial sessions at t h e national conference. In t h e January 1981 S I G A R T issue ( # 7 5 ) , I expressed m y disappointment with t h e lack o f well-structured tutorial sessions at t h e national A C M conference, and proposed t h e introduction o f a state-of-the-art tutorial on Artificial Intelligence. Shortly thereafter, I was asked to "put up or s h u t up" by t h e organizers o f t h e following A C M conference. Against m y better j u d g m e n t , I agreed to organize an AI tutorial for t h e national 1981 A C M conference. To m y surprise, organizing t h e tutorial sessions t u r n e d out to be relatively easy, and t h e A C M hierarchy was quite supportive. Moreover, t h e effort was rewarded with s o m e g e n u i n e u n d e r s t a n d i n g on t h e part of t h e audience and t h e clarification o f s o m e misconceptions about AI in general. Hence, I would encourage others to organize future A C M sessions on AI. Here are s o m e useful pointers in organizing an AI tutorial session:

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