Artificial Intelligence: A Modern Approach (2nd edn)

5 Nov 2004 provide a general introduction to the techniques and theories of Artificial Intelligence and Cognitive Science, building on material provided elsewhere present Artificial Intelligence as a computational theory of intelligence give a deeper understanding of themes such as representation, heuristics and search that underly the main subfields of AI introduce logic as a formalism for representation and reasoning demonstrate the need for different approaches for different problems describe the ideas, issues, problems and techniques in some of the main subfields of Artificial Intelligence and Cognitive Science, including Cognitive Psychology, Search, Rule Based Systems, Logic, Reasoning, Vision, Robotics, Natural Language Processing and Adaptive Computation Continuous assessment, examination identify and describe some basic structures and mechanisms forming the biological basis of intelligent behaviour Continuous assessment, examination explain and discuss some computational models in Cognitive Science Continuous assessment, examination discuss the philosophical issues arising from such computational models Continuous assessment, examination explain the most important knowledge representation formalisms and why they are needed, discussing their advantages and disadvantages Continuous assessment, examination apply these knowledge representation formalisms to example problems Continuous assessment, examination employ the first order predicate calculus as a formalism for representation and reasoning Continuous assessment, examination describe the uses and limitations of logic in AI and discuss alternatives Continuous assessment, examination describe, analyse and critically discuss a variety of AI techniques and apply them to example problems Continuous assessment, examination provide examples of AI systems and applications, and explain common techniques, differences and limitations Continuous assessment, examination explain and apply simple experimental techniques to AI and Cognitive Science problems Continuous assessment, examination

None

18188, 18185

3 hrs/week of lectures and exercise classes in Semester 1, 4 hrs/week in Semester 2

Approximately 81

2 hr examination (60%), continuous assessment (40%). Resit by examination only.

This module provides a general introduction to Artificial Intelligence and Cognitive Science, including an introduction to each of their main subfields. The focus of the module is on AI as a science of intelligence.

Illustrative only -- under development.

Cognitive Psychology Cognitive Science Informed Search and Planning Rule Based Systems Propositional Logic Predicate Logic Resolution theorem proving Vision and Robotics Natural Language Processing Experimental techniques Reasoning Knowledge Representation Limitations and Misconceptions of AI Philosophical Issues Artificial Intelligence: A Modern Approach (2nd edn) S Russell & P Norvig Prentice Hall 2003 The book that ties in most closely with the module Artificial Intelligence: A New Synthesis N J Nilsson Morgan Kaufmann 1998 A good modern book Artificial Intelligence Rob Callan Palgrave Macmillan 2003 A good modern book

See the Module Web Page for module information and resources.