Paper Info
Title
Multisearch systems with hierarchical control: a tool for solving complex AI problems
Abstract
The authors describe multisearch as a general purpose tool for development and complex AI (artificial intelligence) systems. The multisearch approach expands on abstraction of a search space to a combination of search spaces. Each search is represented as a search template, which is a simple recursive scheme that can call other search templates. Search templates are executed by the search interpreter, which is a common driving mechanism for all search templates. Runtime control is represented by a network of control states at different levels, including global control for the whole multisearch system, local control for each search, and local control for individual search nodes. Differentiating between various types of control allows for distinguishing the corresponding types of heuristics. Two computer systems that have been programmed with the use of the multisearch framework are described
Year
DOI
Venue
1989
10.1109/TAI.1989.65312
Fairfax, VA
Keywords
Field
DocType
knowledge based systems,problem solving,search problems,kbs,abstraction,complex ai problems,global control,hierarchical control,multisearch,recursive scheme,runtime control,search interpreter,search templates,artificial intelligence,search space,tv,artificial intelligent,computer science,tree graphs,control systems
Incremental heuristic search,Computer science,Beam search,Knowledge-based systems,Theoretical computer science,State space search,Heuristics,Artificial intelligence,Multisearch,Combinatorial search,Iterative deepening depth-first search
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
2
Name
Order
Citations
PageRank
Jan M. Zytkow1445120.78
Andrzej Jankowski28811.79