WOMAN'S UNIVERSITY IN AFRICAa) Describe the characteristics of intelligent behavior (5 points)Stair, RM and Reynolds, GW (1996) define intelligent behavior as the ability to learn from experience and apply acquired knowledge, manage complex situations, solve problems when important information is missing, determine what is important, react quickly and correctly to a new situation, understand visual images, process and manipulate symbols, be creative and imaginative and use heuristics. It is from this definition that some of the characteristics of intelligent behavior will be explored. The ability to learn from experience and apply knowledge gained from past experiences is the key to intelligent behavior. While this ability is natural in humans, it is not natural in machines. For this reason, these capabilities must be carefully programmed into it. Deep Blue, for example, used this technique to beat the famous chess grandmaster Gary Kasperov in 1997. After learning from past experiences, applying the acquired knowledge to new contexts and situations is an attribute of intelligent behavior. Acting in complex environments is an aspect that describes intelligent behavior. An intelligent system or agent must be able to handle complex situations. Careful planning and elaborate programming are necessary for computer systems to handle perplexing situations. Use of heuristics This refers to making decisions using general rules of thumb or educated guesses without completely investigating all available alternatives or possibilities. This attribute of intelligent behavior, although natural in humans, is difficult to achieve in machines. With the right programs, a computer system can achieve good results/solutions middle of paper...... the problem, called heuristics. This results in an increase in the efficiency of the search process as fewer states are expanded with an informed search rather than a blind search. Some nodes or paths are clearly favored while others are omitted and not developed. We don't waste time choosing redundant or irrelevant paths. This means that the better the heuristic, the more efficient and faster the search will be. The fewer steps required to obtain the solution path, the better the solution path will be. So far, the most famous algorithm in the informed search category is A* search. Others include Escalation, Best first, Greedy and Beam.ReferencesRussell, SJ, Norvig P. (2003). Artificial intelligence: a modern approach. Upper Saddle River, NJ: Prentice HallStair, RM and Reynolds, GW (1996).Principles of Information Systems. Thompson Learning. Toronto