000			01981cam a2200325 i 4500
001			on1375005726
003			OCoLC
005			20250121001440.0
008			230405s2017 xxua 000 0 eng d
020			_a9781723821868 _q(paperback)
020			_a1723821861 _q(paperback)
035			_a(OCoLC)1375005726
040			_aPIF _beng _erda _cPIF _dOCLCF _dOCLCO _dOCLCQ
050	1	4	_aQA76.76.E95 MER
100	1		_aMerritt, Dennis, _eauthor.
245	1	0	_aExpert systems in Prolog / _cDennis Merritt.
246	3		_aExpert systems in Prolog.
264		1	_a[Place of publication not identified] : _bIndependently published, _c2017.
300			_a231 pages : _billustrations ; _c23 cm.
336			_atext _btxt _2rdacontent.
337			_aunmediated _bn _2rdamedia.
338			_avolume _bnc _2rdacarrier.
500			_a"Expert systems in Prolog"--Cover.
505	0		_a1. Introduction -- 2. Using Prolog's inference engine -- 3. Backward chaining with uncertainty -- 4. Explanation -- 5. Forward chaining -- 6. Frames -- 7. Integration -- 8. Performance -- 9. User interface -- 10. Two hybrids -- 11. Prototyping --12. Rubik's cube.
520			_a"This book should probably be called "Building Expert System Shells in Prolog." While Prolog is an excellent language for directly implementing some rule-based applications, it's greater strength is the ease with which it can model complex knowledge structures and the reasoning strategies required to use them. For example, while Prolog has native support for backward-chaining rules, it takes just a few lines of code to implement a shell for forward-chaining, production system applications. This book explores different knowledge representations and reasoning strategies, with sample of the sorts of applications that can be built with them." --Back of cover.
650		0	_aExpert systems (Computer science)
650		0	_aProlog (Computer program language)
942			_2ddc _cBK _n0
948			_hNO HOLDINGS IN MM9 - 1 OTHER HOLDINGS
999			_c264 _d264