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Terms in this set (15)artificial intelligence Simulates human intelligence such as the ability to reason and learn algorithm refers to a set of instructions that complete a task. Machine Learning enables computers both to understand concepts in the environment and to learn. Weak AI these machines can still make their own decisions based on reasoning and past sets of data. Most of the AI system on the market today are weak AI Strong AI This refers to the field of artificial intelligence that works toward providing brain like powers to AI machines; in effect, it works to make machines as intelligent as the humans. expert system Computerized advisory programs that
imitate the reasoning processes of experts in solving difficult problems neural network a category of AI that attempts to emulate the way the human brain works deep learning a process that employs specialize algorithms to model and study complex datasets; the method is also used to establish relationships among data and datasets. genetic algorithm an artificial intelligence system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem. intelligent agent Special-purpose knowledge-based information system that accomplishes specific tasks on behalf of its users shopping bot Software that will search several retailer websites and provide a comparison of each retailer's offerings including price and availability virtual reality A computer-simulated environment that can be a simulation of the real world or an imaginary world augmented reality the viewing of the physical world with computer-generated layers of information added to it General AI machines that have all the senses (maybe more), all the reason, and think just like people do. natural language processing an AI technique using software to interpret natural languages (the languages spoken by people, such as English, French, Chinese and others). These techniques deal with speech recognition, understanding and generation. Sets with similar termsFINAL MIS 180: Chapter 2 Artificial Intelligence (…9 terms LaurenSchott12 Artificial Intelligence92 terms AdamKane Artificial Intelligence92 terms mitchflorida cgs ch247 terms daniitungg Sets found in the same folderUnit 825 terms Cindy_Lai21 Unit 921 terms Cindy_Lai21 Unit 105 terms Cindy_Lai21 Unit 118 terms Cindy_Lai21 Other sets by this creatorUnit 145 terms Cindy_Lai21 Unit 1229 terms Cindy_Lai21 12 terms Cindy_Lai21 Unité 6 vocabulaire41 terms Cindy_Lai21 Verified questions
COMPUTER SCIENCE A problem should be solved by recursion if _______________. a. it can’t be solved through iteration b. it can’t be solved using goto statement c. it has a non-recursive nature d. it can be broken down into smaller problems of identical nature Verified answer COMPUTER SCIENCE Give a counterexample to the conjecture that if a directed graph G contains a path from u to v, and if u.d < v.d in a depth-first search of G, then is a descendant of u in the depth-first forest produced. Verified answer COMPUTER SCIENCE Distinguish between PCS and SCS scheduling. Verified answer
COMPUTER SCIENCE Modify the LinkedList template shown in this chapter to include a member function named search. The function should search the list for a specified value. If the value is found, it should return a number indicating its position in the list. (The first node is node 1, the second node is node 2, and so forth.) If the value is not found, the function should return 0. Demonstrate the function in a driver program. Verified answer Recommended textbook solutionsIntroduction to Algorithms3rd EditionCharles E. Leiserson, Clifford Stein, Ronald L. Rivest, Thomas H. Cormen 726 solutions Computer Organization and Design MIPS Edition: The Hardware/Software Interface5th EditionDavid A. Patterson, John L. Hennessy 220 solutions Information Technology Project Management: Providing Measurable Organizational Value5th EditionJack T. Marchewka 346 solutions Information Technology Project Management: Providing Measurable Organizational Value5th EditionJack T. Marchewka 346 solutions Other Quizlet setshormono, digestion des glucides de Carré73 terms l_os_sphenoide QUIZ CH 11 Prosocial Behavior10 terms Tatiana_Rubio25 Anatomy Exam #4 Lymphatic system31 terms KyronSidwell13 Physics Midterm59 terms parklisA4 Related questionsQUESTION (118) - (L6-19) - What are scalable ARM methods 4 answers QUESTION What is supervised and unsupervised learning? 10 answers QUESTION Knowledge to be mined(or:Data mining functions) 5 answers QUESTION If you were using your PDA and it was analyzing and reacting to every word you typed on the pad, what type of system would you be using? 15 answers What is the training of machine learning models to make a sequence of decisions?Reinforcement learning is the training of machine learning models to make a sequence of decisions. The agent learns to achieve a goal in an uncertain, potentially complex environment.
What is weak narrow AI?Narrow AI, also known as weak AI, is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose.
What refers to a set of instructions that completes a task?An algorithm is a procedure used for solving a problem or performing a computation. Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines.
What is weak AI quizlet?Weak AI: making machines imitate humans to allow greater understanding of humans. -strong AI: make machine capable of human-like understanding. Turing test.
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What machines can still make their own decisions based on reasoning and past sets of data quizlet?
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