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, handle 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 starting 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 experience is the key to intelligent behavior. While this ability is natural in humans, it is not natural in machines. For this reason such abilities must be carefully programmed into them. Deep Blue, for example, used this technique to beat the famous chess grandmaster Gary Kasperov in 1997. After learning from past experiences, it is an attribute of intelligent behavior to apply the acquired knowledge to new environments and situations. Acting in complex environments is one aspect that describes intelligent behavior. The intelligent system or agent must be able to handle complex situations. Careful planning and elaborate programming are necessary for computer systems to handle complicated situations. Use of heuristics Refers to making decisions using general rules of thumb or informed hypotheses without fully searching for all available alternatives or possibilities. This attribute of intelligent behavior, while natural to humans, is difficult to achieve in machines. With the right programs, a computer system can obtain good results/solutions t... middle of paper... the problem, called heuristics. This results in an increase in the efficiency of the search process as fewer states are exploded with an informed search compared to a blind one. Some nodes or paths are clearly favored while others are omitted and not explored in depth. No time is wasted choosing redundant or irrelevant paths. This means that the better the heuristic, the better and faster the search will perform. The fewer steps needed to achieve the solution path, the better the solution path will be. So far, the best-known algorithm in the Informed Search category is A* search. Others include hill climbing, Best first, Greedy and Beam. References Russell, S.J., Norvig P. (2003). Artificial intelligence: a modern approach. Upper Saddle River, NJ: Prentice HallStair, R. M., & Reynolds, G. W. (1996). Principles of information systems. Thompson Learning. Toronto