Introduction to Artificial Intelligence1st year undergraduate degrees with AI and/or CShttp://www.cs.bham.ac.uk/ jxb/iai.htmlLecturer: Dr. John A. Bullinariahttp://www.cs.bham.ac.uk/ jxb John A. Bullinaria, 2005
AI at BirminghamAI is the part of CS concerned with designing intelligent computer systems.There are two routes for studying AI at Birmingham:1. Take a joint honours degree including AI (e.g., BSc AI & CS, BSc Maths & AI)2. Take a CS degree and choose AI options (e.g., BSc CS, BEng/MEng CS/SE )Either way, the Introduction to AI module provides the foundations for your futurestudies. It is a prerequisite for many optional AI modules.Even if you do not want to study AI in more detail later, AI techniques are increasinglybeing used in standard software applications, and having a basic grounding in how theywork is now important for all computer scientists.For up-to-date details of which further AI modules are available for each particulardegree programme, refer to the School’s web-site.w1-2
OutlineThis module provides a general introduction to artificial intelligence, its techniques, andmain sub-fields. The principal focus of the module will be on the common underlyingideas, such as knowledge representation, rule based systems, search, and learning. Itwill provide a foundation for further study of specific areas of artificial intelligence.AimsThe aims of this module are to:1. Provide a general introduction to AI, its techniques and its main sub-fields.2. Give an overview of key underlying ideas, such as knowledge representation, rulebased systems, search, and learning.3. Demonstrate the need for different approaches for different problems4. Provide a foundation for further study of specific areas of AI.w1-3
Learning OutcomesOn completion of this module, the student should be able to:1. Recognise the important features of AI systems and structure the field of AI into itsmain sub-fields.2. Explain some of the most important knowledge representation formalisms and whythey are needed, discussing their advantages and disadvantages. Apply theseknowledge representation formalisms to simple unseen examples.3. Describe and apply some simple search algorithms.4. Outline the processes involved in rule-based Expert Systems and in building suchsystems.5. Discuss the importance of learning in intelligent systems, and how it might beimplemented.6. Provide examples of different types of AI systems, and explain their differences,common techniques, and limitations.w1-4
Syllabus / Lecture PlanWeekSession 1Tuesdays 16:00-17:00Session 2Tuesdays 17:00-18:00Session 3Wednesdays 11:00-12:001Module Organisation––3The Roots, Goals and Sub-fields ofAIBiological Intelligence andNeural Networks4Building Intelligent AgentsExercise Session 35Knowledge RepresentationExercise Session 46Semantic Networks and FramesExercise Session 57Production SystemsExercise Session 68SearchExercise Session 79Expert SystemsExercise Session 810Treatment of UncertaintyExercise Session 911Machine LearningExercise Session 102Exercise Session 1Exercise Session 2Evolutionary Computation(Thorsten Schnier)Neural Network Applications(Peter Tino)Interacting Agent Based Systems(Dean Petters)AI and Philosophy(Aaron Sloman)Natural Language Processing(Mark Lee)Intelligent Robotics(Jeremy Wyatt)Vision(Ela Claridge)Computer Chess(Colin Frayn)AI for Computer Games(Nick Hawes)Machine Learning Applications(Ata Kaban)Colour coding: Black Regular Lecture, Green Exercise Session, Blue Guest Seminar.w1-5
Recommended BooksTitleAuthor(s)Publisher, YearCommentsArtificial Intelligence: AModern ApproachStuart Russell &Peter NorvigPrentice Hall, 2003This is the book that ties in mostclosely with the moduleArtificial Intelligence(2nd ed.)Elaine Rich &Kevin KnightMcGraw Hill, 1991Quite old now, but still a goodsecond bookArtificial Intelligence: A NewSynthesisNils NilssonMorgan Kaufmann, 1998A good modern bookArtificial Intelligence(3rd ed.)Patrick WinstonAddison Wesley, 1992A classic, but not advancedenough nowArtificial IntelligenceMichael NegnevitskyAddison Wesley, 2002A good modern approachArtificial IntelligenceRob CallanPalgrave Macmillan, 2003A good modern bookArtificial Intelligence(5th ed.)George LugerAddison Wesley, 2004Some students may prefer this oneIntroduction to Expert Systems(3rd ed.)Peter JacksonAddison Wesley, 1999The best book on Expert SystemsIf you can only afford to buy one AI book, I would recommend Russell & Norvig.w1-6
Peter Norvig Prentice Hall, 2003 This is the book that ties in most closely with the module Artificial Intelligence (2nd ed.) Elaine Rich & Kevin Knight McGraw Hill, 1991 Quite old now, but still a good second book Artificial Intelligence: A New Synthesis Nils Nilsson Morgan Kaufmann, 1998 A good modern book Artificial Intelligence (3rd ed.) Patrick Winston Addison Wesley, 1992 A classic, but .
PA R T 1 Introduction to Artificial Intelligence 1 Chapter 1 A Brief History of Artificial Intelligence 3 1.1 Introduction 3 1.2 What Is Artificial Intelligence? 4 1.3 Strong Methods and Weak Methods 5 1.4 From Aristotle to Babbage 6 1.5 Alan Turing and the 1950s 7 1.6 The 1960s to the 1990s 9 1.7 Philosophy 10 1.8 Linguistics 11
and artificial intelligence expert, joined Ernst & Young as the person in charge of its global innovative artificial intelligence team. In recent years, many countries have been competing to carry out research and application of artificial intelli-gence, and the call for he use of artificial
BCS Foundation Certificate in Artificial Intelligence V1.1 Oct 2020 Syllabus Learning Objectives 1. Ethical and Sustainable Human and Artificial Intelligence (20%) Candidates will be able to: 1.1. Recall the general definition of Human and Artificial Intelligence (AI). 1.1.1. Describe the concept of intelligent agents. 1.1.2. Describe a modern .
IN ARTIFICIAL INTELLIGENCE Stuart Russell and Peter Norvig, Editors FORSYTH & PONCE Computer Vision: A Modern Approach GRAHAM ANSI Common Lisp JURAFSKY & MARTIN Speech and Language Processing, 2nd ed. NEAPOLITAN Learning Bayesian Networks RUSSELL & NORVIG Artiﬁcial Intelligence: A Modern Approach, 3rd ed. Artiﬁcial Intelligence A Modern Approach Third Edition Stuart J. Russell and Peter .
BCS Essentials Certificate in Artificial Intelligence Syllabus V1.0 BCS 2018 Page 10 of 16 Recommended Reading List Artificial Intelligence and Consciousness Title Artificial Intelligence, A Modern Approach, 3rd Edition Author Stuart Russell and Peter Norvig, Publication Date 2016, ISBN 10 1292153962
Artificial Intelligence, Machine Learning, and Deep Learning (AI/ML/DL) F(x) Deep Learning Artificial Intelligence Machine Learning Artificial Intelligence Technique where computer can mimic human behavior Machine Learning Subset of AI techniques which use algorithms to enable machines to learn from data Deep Learning
Artificial Intelligence and Its Military Implications China Arms Control and Disarmament Association July 2019 What Is Artificial Intelligence? Artificial intelligence (AI) refers to the research and development of the theories, methods, technologies, and application systems for
ANSI A300 standards are the accepted industry standards for tree care practices. ANSI A300 Standards are divided into multiple parts, each focusing on a specific aspect of woody plant management. Tree Selection and Planting Recommendations Evaluation of the Site The specific planting site should be evaluated closely as it is essential to understand how the chemical, biological and physical .