Date of Publication
9-1994
Document Type
Master's Thesis
Degree Name
Master of Science in Computer Science
Subject Categories
Computer Sciences
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Arnulfo P. Azcarraga
Defense Panel Chair
Kelsey Hartigan Go
Defense Panel Member
Philip Chan
Raymund Sison
Abstract/Summary
In the course of searching for ways of making the computer think like a human being, scientists have developed a number of search techniques that can be implemented in order to find a solution to a particular problem. Examples of such search methods are breadth-first search, depth-first search. To make such techniques more efficient, heuristic search methods were developed. The most prominent of these techniques is the best-first search. Process algebra is an algebraic tool for modelling processes in a formal definition. It can be used in a number of different applications, most of which is on concurrency. This paper aims to apply the axioms and elements defined in Process Algebra in coming up with a formalism for the best-first search technique.
Abstract Format
html
Language
English
Format
Accession Number
TG02315
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
50 leaves, 28 cm.
Keywords
Heuristic programming; Algebra--Graphic methods; Programming (Mathematics); Machine theory
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Recommended Citation
Arellano, R. C. (1994). Best-first search as the simplification of weighted process algebra extension. Retrieved from https://animorepository.dlsu.edu.ph/etd_masteral/1607