Artificial intelligence composed
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The document outlines key components and types of artificial intelligence (AI), highlighting reasoning, learning, problem solving, perception, and linguistic intelligence. It differentiates between inductive and deductive reasoning, and explains various learning types alongside the intricacies of problem solving and perception in both humans and machines. The text concludes with a comparison of human and machine intelligence, emphasizing how they process information differently.
Artificial intelligence composed
- 2. The intelligence is intangible. It is composed of :- Reasoning Learning Problem Solving Perception Linguistic Intelligence Artificial Intelligence Composed
- 3. It is the set of processes that enables us to provide basis for judgement, making decisions, and prediction. There are broadly two types Reasoning
- 4. It conducts specific observations to makes broad general statements. Even if all of the premises are true in a statement, inductive reasoning allows for the conclusion to be false. Example − "Nita is a teacher. Nita is studious. Therefore, All teachers are studious." Inductive Reasoning
- 5. It starts with a general statement and examines the possibilities to reach a specific, logical conclusion. If something is true of a class of things in general, it is also true for all members of that class. Example − "All women of age above 60 years are grandmothers. Shalini is 65 years. Therefore, Shalini is a grandmother." Deductive Reasoning
- 6. It is the activity of gaining knowledge or skill by studying, practising, being taught, or experiencing something. Learning enhances the awareness of the subjects of the study. The ability of learning is possessed by humans, some animals, and AI-enabled systems. Learning is categorized as Auditory Learning Episodic Learning Motor Learning Observational Learning Perceptual Learning Relational Learning Spatial Learning Stimulus-Response Learning Learning
- 7. It is the process in which one perceives and tries to arrive at a desired solution from a present situation by taking some path, which is blocked by known or unknown hurdles. Problem solving also includes decision making, which is the process of selecting the best suitable alternative out of multiple alternatives to reach the desired goal are available. Problem Solving
- 8. It is the process of acquiring, interpreting, selecting, and organizing sensory information. Perception presumes sensing. In humans, perception is aided by sensory organs. In the domain of AI, perception mechanism puts the data acquired by the sensors together in a meaningful manner. Perception
- 9. It is one’s ability to use, comprehend, speak, and write the verbal and written language. It is important in interpersonal communication. Linguistic Intelligence
- 10. Humans perceive by patterns whereas the machines perceive by set of rules and data. Humans store and recall information by patterns, machines do it by searching algorithms. For example, the number 40404040 is easy to remember, store, and recall as its pattern is simple. Humans can figure out the complete object even if some part of it is missing or distorted; whereas the machines cannot do it correctly. Difference between Human and Machine Intelligence
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