EARIN Jarosław Arabas Room #223, Electronics Bldg.

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Transcription:

EARIN http://elektron.elka.pw.edu.pl/~jarabas/earin.html Jarosław Arabas jarabas@elka.pw.edu.pl Room #223, Electronics Bldg. Paweł Cichosz pcichosz@elka.pw.edu.pl Room #215, Electronics Bldg.

EARIN Jarosław Arabas Introduction

Intelligence Property of: Humans? Animals? Plants? Chemical particles? Computers? Washing machines?.

Intelligence Ability to predict Ability to plan Ability to adapt Ability to classify Ability to communicate Ability to cooperate

Intelligence How to recognize intelligence? Behavior Thinking

Artificial Intelligence Computers can predict plan adapt classify communicate cooperate

Turing test Human communicates? A human cannot guess whether on the other side is a human or a computer

Turing test

Artificial Intelligence Computers can act reasonably weak AI think reasonably act like humans think like humans strong AI

EARIN Weak AI Basic course Three units Problem solving by searching Inference in predicate logic Building models from data Additional unit Decision making support

EARIN Three units Problem solving by searching Inference in predicate logic Building models from data Additional unit Decision making support Computers can predict plan adapt classify communicate cooperate

Example application fields Playing games Autonomous car Mobile robots Speech recognition Recognition of written text Recommending systems Fraud detection Search engines Industrial control systems Computer Aided Design

Example application fields Playing games Autonomous car Mobile robots Speech recognition Recognition of written text Recommending systems Fraud detection Search engines Industrial control systems Computer Aided Design

Example application fields Playing games Autonomous car Mobile robots Speech recognition Recognition of written text Recommending systems Fraud detection Search engines Industrial control systems Computer Aided Design

Example application fields Playing games Autonomous car Mobile robots Speech recognition Recognition of written text Recommending systems Fraud detection Search engines Industrial control systems Computer Aided Design

Example application fields Playing games Autonomous car Mobile robots Speech recognition Recognition of written text Recommending systems Fraud detection Search engines Industrial control systems Computer Aided Design

Example application fields Playing games Autonomous car Mobile robots Speech recognition Recognition of written text Recommending systems Fraud detection Search engines Industrial control systems Computer Aided Design

Example application fields Playing games Autonomous car Mobile robots Speech recognition Recognition of written text Recommending systems Fraud detection Search engines Industrial control systems Computer Aided Design

Methods of AI Turing test is based on the interaction with the system (or on the system actions) No clear understanding what are AI methods and what are not Closely related areas (incomplete list) Logic Statistics Calculus Numerical methods

Textbooks S. Russell, P. Norvig, Artificial Intelligence: a Modern Approach, Prentice Hall, 2010. (search oriented perspective) G. Luger, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Addison-Wesley, 2008. (knowledge oriented perspective) Z. Michalewicz, D. Fogel, How to solve it: modern heuristics, Springer, 2004. (computational intelligence)

EARIN course Lecture Problem solving by searching Inference in predicate logic Building models from data exam 55 points Project Solving puzzles in R (15 points) Simple predicates in PROLOG (15 points) Using packages in R to build classifiers (15 points)

EARIN grading Min. 10 points from the exam to pass Grading rules: 91-100 5 81-90 4.5 71-80 4 61-70 3.5 51-60 3