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An overview of artificial intelligence (AI) in computer science. It covers the definition of AI, desirable traits of AI, the Turing Test, artificial neural networks, back propagation algorithm, decision trees, state-space, brute force approach, and swarm intelligence model. The document also discusses the characteristic of human reasoning and how AI specialists try to get computers to emulate this characteristic. It is a useful resource for students studying computer science and AI.
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Artificial intelligence (AI) - correct answer - The intelligence of machines and the branch of computer science that aims to create it
Back propagation algorithm - correct answer Eventually causes the network to settle into a stable state where it can correctly respond to all inputs in the training set Characteristic of human reasoning - correct answer Ability to draw on a large body of facts and past experience to come to a conclusion Artificial intelligence specialists try to get computers to emulate this characteristic Decision tree for a search algorithm - correct answer Illustrates the possible next choices of items to search if the current item is not the target Decision tree for sequential search is linear Know what the difference decision trees are like. Linear/Sequential is easy because it only has one choice each time. Binary is harder because 2 each time so more branches State-Space is the worst because of Exponential Growth Solution path - correct answer Takes us from the initial state to a winning configuration, and the graph nodes along the way represent the intermediate configurations Brute force approach - correct answer Traces all branches of the state-space graph Swarm intelligence model - correct answer - Uses simple agents that:
Reactive strategy: Robotics - correct answer uses heuristic algorithms to allow the robot to respond directly to stimuli from its environment heuristic algorithms - correct answer The term heuristic is used for algorithms which find solutions among all possible ones ,but they do not guarantee that the best will be found,therefore they may be considered as approximately and not accurate algorithms.These algorithms,usually find a solution close to the best one and they find it fast and easily. Categories of tasks for AI - correct answer Computational, recognition, and reasoning