Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

CS188 – Introduction to Artificial Intelligence

Question 1 (Class) – Expectiminimax – Saving Suicidal Pacman! You will see during your assignment that pacman is sometimes suicidal when doing a minimax search because of its worst‐case analysis. We will build here a small expectimax tree (there is no min node, hence the name) to see the difference in behavior. Consider the following rules for pacman (a bit more restrictive than in Project 2):...

Logic and Artificial Intelligence

Nilsson, N.J., Logic and artificial intelligence, Artificial Intelligence 47 (1990) 31-56. The theoretical foundations of the logical approach to artificial intelligence are presented. Logical languages are widely used for expressing the declarative knowledge needed in artificial intelligence systems. Symbolic logic also provides a clear semantics for knowledge representation languages and a me...

Logic and Artificial Intelligence

Introduction to artificial intelligence and expert systems

• I. What is Artificial Intelligence (AI)? • II. What are Expert Systems (ES)? ◦ Functional Components ◦ Structural Components • III. How do People Reason? • IV. How do Computers Reason? ◦ IV-1. Frames ◦ IV-2. Rule Based Reasoning ◾ IV-2a. Knowledge Engineering ◦ IV-3. Case-Based Reasoning ◦ IV-4. Neural Networks • V. Advantages and Disadvantages • VI. Additional Sources of Information ◦ VI-1. ...

Developing a Fuzzy Logic Model to Predict Asphaltene Precipitation during Natural Depletion based on Experimental Data