An ALGOL-based associative language
Communications of the ACM
A data structure model of the B6700 computer system
ACM SIGPLAN Notices
Resolution, Refinements, and Search Strategies: A Comparative Study
IEEE Transactions on Computers
Forecasting and assessing the impact of artificial intelligence on society
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Planning considerations for a roving robot with arm
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
2.PAK: a SNOBOL-based programming language for artificial intelligence applications
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Parallelism in artificial intelligence problem solving: a case study of hearsay II
IEEE Transactions on Computers - Special issue on parallel processors and processing
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Progress in Artificial Intelligence has traditionally been accompanied by advances in special purpose programming techniques and languages. Virtually all of this development has been concentrated in languages and systems oriented to list processing. As the efforts of Artificial Intelligence researchers began to turn from purely symbolic problems toward interaction with the real world, certain features of algebraic languages became desirable. There were several attempts (notably LISP2 and FORMULA ALGOL) to combine the best features of both kinds of language. At the same time, designers of algebraic languages began to include features for non-numerical computation. No new general purpose language without some sort of list processing facility has been suggested for several years. We have followed a tack somewhat different from either of these in the design of SAIL and in its subsequent modifications.