AI Lesson 6: Reasoning

What are the categories of reasoning described in the lesson?

• Physical, emotional, social, and ethical

• Mathematical, scientific, linguistic, and logical

• Deductive, inductive, abductive, analogical, and common sense

• Observational, experimental, theoretical, and practical

What is the role of reasoning in artificial intelligence?

• To complicate the problem-solving process

• To confuse the decision-making process

• To generate random results

• To help the agent to conclude according to statements

What type of reasoning uses general statements to obtain a specific conclusion?

• Abductive reasoning

• Analogical reasoning

• Inductive reasoning

• Deductive reasoning

What type of reasoning includes understanding the characteristics of objects in a group to make a general conclusion?

• Abductive reasoning

• Analogical reasoning

• Inductive reasoning

• Deductive reasoning

In which type of reasoning do you infer the best explanation for a possible situation?

• Deductive reasoning

• Inductive reasoning

• Analogical reasoning

• Abductive reasoning

What is the concept proposed by Lotfi A. Zadeh that allows a system to have different values between 0 and 1?

• Probabilistic logic

• Fuzzy logic

• Temporal logic

• First-order logic

What is the module in a fuzzy logic system that transforms discrete values into fuzzy values?

• Defuzzification module

• Fuzzification module

• Inference engine

• Knowledge base

What logic system represents logical facts using symbols and connectives?
Ex: P^Q

• Fuzzy logic

• Propositional logic

• Probabilistic logic

• Temporal logic

What logic system allows the representation of the subject and predicate separately?
Ex: Ali is hungry => Ha

• Temporal logic

• Probabilistic logic

• First-order logic

• Fuzzy logic

What logic system is beneficial in representing complex phenomena and can accommodate changes in the dynamics of a system?

• Probabilistic logic

• Fuzzy logic

• First-order logic

• Temporal logic