By George F. Luger, William A Stubblefield
AI Algorithms, information buildings, and Idioms in Prolog, Lisp, and Java
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Additional info for AI algorithms, data structures, and idioms in Prolog, Lisp, and Java
5 Structured Representations and Inheritance Search in Prolog Introduction: Logic-Based Representation Prolog is a computer language that uses many of the representational strengths of the First-Order Predicate Calculus (Luger 2009, Chapter 2). Because Prolog has this representational power it can express general relationships between entities. This allows expressions such as “all females are intelligent” rather than the limited representations of the propositional calculus: “Kate is intelligent”, “Sarah is intelligent”, “Karen is intelligent”, and so on for a very long time!
SCHEME and SML-NJ, have been designed specifically to reclaim the semantic clarity of the earlier versions of Lisp. The list is the basis of both programs and data structures in Lisp: Lisp is an acronym for list processing. Lisp provides a powerful set of list-handling functions implemented internally as linked pointer structures. Lisp gives programmers the full power and generality of linked data structures while freeing them, with real-time garbage collection, from the responsibility for explicitly managing pointers and pointer operations.
Isa(tweety, canary). hasprop(robin, sound, sing). hasprop(canary, sound, sing). hasprop(bird, cover, feathers). hasprop(animal, cover, skin). 1 A semantic net for a bird hierarchy reflecting the Prolog code. We create a recursive search algorithm to find whether an object in our semantic net has a particular property. Properties are stored in the net at the most general level at which they are true. Through inheritance, an individual or subclass acquires the properties of its superclasses. Thus the property fly holds for bird and all its subclasses.
AI algorithms, data structures, and idioms in Prolog, Lisp, and Java by George F. Luger, William A Stubblefield