Fast Information Distribution for Massively Parallel IDA* Search
Diane J. Cook · 1993
Search permeates all aspects of artificial intelligence including problem solving, robot motion planning, concept learning, theorem proving, and natural language understanding [12]. Because search routines are frequently also a computational bottleneck, numerous methods have been explored to increase the efficiency of search by making use of background knowledge, search macro operators, and parallel hardware for search.