The Choice of Exhaustive or Heuristic Search to Solve AI Problems
- Authors
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Dalya A. Gatsh
Computer Science Department, Faculty of Arts and Sciences, Omar Al-Mukhtar University, Derna- LibyaAuthor
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- Keywords:
- AI problem, Search problem, Exhaustive search, Heuristic search
- Abstract
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Artificial intelligence is an appealing area of research in computer science because it is concerned with the discovering of effective techniques that have been mainly motivated from human beings or their living environments to solve problems that have special nature. In this research, we aim first to introduce and analyze the common characteristics of problems that artificial intelligence interested in, and then we will highlight how to prepare such problems to solve them by search. The main goal of our study is helping us to decide which search strategy is better through investigating the behavior of most popular search strategies to find out the desired solution for two examples of a simple artificial intelligence problem. Our experiments presented that the required time and memory space to solve the problem mainly affected by many factors such as the applied search mechanism, the solution position, the number of available solutions, and the complexity in search.
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- References
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Chijindu, E. V. (2012). Search in Artificial Intelligence Problem Solving. www. ajocict. net, 5(5), 37.
Konar, A. (2000). Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain: CRC press.
Negnevitsky, M. (2005). Artificial intelligence: a guide to intelligent systems: Pearson education.
Poole, D. L., & Mackworth, A. K. (2017). Artificial Intelligence: foundations of computational agents: Cambridge University Press.
Russell, S. J., & Norvig, P. (2010). Artificial Intelligence-A Modern Approach (3rd internat. edn.): Pearson Education.
Tim, J. M. (2008). Artificial Intelligence–A System Approach. Computer Science Series, Infinity Science Press, 498.
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- Issue
- Vol. 34 No. 2 (2019)
- Section
- Articles
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