Profile
This course introduces topics in human cognition and various well-established paradigms pertaining to the formal representations of artificial intelligence and knowledge engineering for computational problem solving.1. Human brain and Cognitive structure: thinking and acting. The foundation of AI.2. Structure of intelligent agents3. Procedural Representation (Algorithmic)4. Symbolic Representation (Knowledge Engineering)
What You'll Learn
Upon completion of this subject, the student should be able to:a) Understand what Artificial Intelligence is about and appreciate its relevance to Computer Science and importance for IT and society.b) Understand the human cognitive organisation in problem solving and appreciate the ethics involved in the application of AI techniques.c) Understand the principles of problem solving and of the state space search approach, be able to efficiently formulate a problem and evaluate its complexity, master various search algorithms, and be capable of selecting and applying these techniques appropriately. d) Be familiar with techniques for computer-based representation and manipulation of complex information and knowledge, understand formal logic inference and reasoning algorithms, and be able to employ these tools to build knowledge-based systems. e) Gain awareness of several advanced AI applications and topics such as intelligent agents, constraint satisfaction, game playing, applied expert systems, approximate reasoning, probabilistic reasoning and machine learning.