302952 (v.1) Artificial and Machine Intelligence 651
| Area: | Department of Computing | 
| Contact Hours: | 4.0 | 
| Credits: | 25.0 | 
| Workshop: | 1 x 4 Hours Weekly | 
| Prerequisite(s): | 10225 (v.5) Introduction to Programming Environments 502  or any previous version 
 | 
 
| Introduction to LISP, list processing, functional approach. Pattern matching, symbolic representation, LISP- local state, stream processing, function as arguments and results, printing, reading and file manipulation. Search methods, semantic nets and frames in LISP, natural language processing, simple grammar representation. Introduction to neural networks. Introduction to machine learning, constraint propagation, probabilistic reasoning, planning and problem solving paradigms. | 
| Year | Location | Period | Internal | Area External | Central External |  | 2003 | Bentley Campus | Semester 1 | Y |   |   |    | 
 
 
Current as of: October 30, 2003     13:11:55
 
 
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