COMP3710 Artificial Intelligence Thompson Rivers University A Brief History of AI COMP3710 Artificial Intelligence Computing Science Thompson Rivers University

Course Outline Part I – Introduction to Artificial Intelligence A Brief History of Artificial Intelligence Uses and Limitations Part II – Classical Artificial Intelligence Part III – Machine Learning Part IV – Some Advanced Topics TRU-COMP3710 A Brief History of AI

Learning Outcomes Define what AI is Distinguish strong AI and weak AI Distinguish strong methods and weak methods Explain what the Turing test is List important study areas in AI TRU-COMP3710 A Brief History of AI

Reference Chapter 1. A Brief History of Artificial Intelligence TRU-COMP3710 A Brief History of AI

Unit Outline What is AI? Strong methods and weak methods Alan Turing and the 1950s The 1960s to the 1990s ... TRU-COMP3710 A Brief History of AI

1.2 What is AI A more difficult question is: What is intelligence? This question has puzzled philosophers, biologists and psychologists for centuries. Artificial Intelligence is easier to define, although there is no standard, accepted definition. A simple definition might be as follows: Artificial intelligence is the study of systems that act in a way that to any observer would appear to be intelligent. In fact, Artificial Intelligence techniques are often used to solve relatively simple problems, or complex problems that are internal to more complex systems. This may lead us to another definition of Artificial Intelligence, as follows: Artificial Intelligence involves using methods based on the intelligent behavior of humans and other animals to solve complex problems. TRU-COMP3710 A Brief History of AI

1.2 What is AI - cont Strong AI Weak AI: What is your opinion? One can create a computer that can literally think and is conscious in the same way that a human is conscious. This is the view that a sufficiently programmed computer would actually be intelligent and would think in the same way that a human does. Weak AI: Intelligent behavior can be modeled and used by computers to solve complex problems. This is the use of methods modeled on intelligent behavior to make computers more efficient at solving problems. What is your opinion? TRU-COMP3710 A Brief History of AI

1.3 Strong Methods and Weak Methods Strong method problem solving depends on a system being given a great deal of real knowledge about its world and the problems that is might encounter. Strong methods use knowledge about the world to solve problems. Weak methods use systems such as logic, automated reasoning, and other general structures that can be applied to a wide range of problems but that do not necessarily incorporate any real knowledge about the world of the problem. Weak methods use logic and other symbolic systems. Are strong methods enough to implement an intelligent system? Are weak methods enough to implement an intelligent system? Strong method systems rely on weak methods, as knowledge is useless without a way to handle that knowledge. TRU-COMP3710 A Brief History of AI

1.5 Alan Turing and the 1950s Alan Turing (1950) "Computing machinery and intelligence": "Can machines think?"  "Can machines behave intelligently?" The Turing Test was designed as a way to judge the success or otherwise of an attempt to produce a thinking computer. Predicted that by 2000, a machine might have a 30% chance of fooling a lay person for 5 minutes What do you think? But no system has yet passed the Turing Test. Is the Turing Test enough to test whether a given system is intelligent? Required capabilities??? Natural language processing Knowledge representation Automated reasoning Machine learning TRU-COMP3710 A Brief History of AI

1.5 Alan Turing and the 1950s - cont Around this time, in the 1950’s, systems were being developed that could play checkers, engage in conversation and solve other problems. The term Artificial Intelligence was coined in 1956 by John McCarthy at a conference. TRU-COMP3710 A Brief History of AI

1.6 The 1960s to the 1990s Since the 1950s, a great deal of the original optimism has gone out of AI and has been replaced with a degree of realism. Areas of particular importance Machine learning Multi-agent systems Artificial life Computer vision Planning Playing games Recently AI has been in the spotlight due to the evolution of hardware. TRU-COMP3710 A Brief History of AI