1. Artificial Intelligence and Robotics Ross Clark Trevor Sheehan

2. Project Goals Learn the underlying principles of AI and their applications Learn the underlying principles of AI and their applications Learn how to use various techniques in which to sort through multiple possibilities in knowledge representations Learn how to use various techniques in which to sort through multiple possibilities in knowledge representations Explore the application of AI to the field of robotics Explore the application of AI to the field of robotics

3. Project Plan Programming Example – Tic-Tac-Toe program Programming Example – Tic-Tac-Toe program Utilize various searching techniques (search trees, etc)‏ Utilize various searching techniques (search trees, etc)‏ Explain the concepts behind the various networks and other knowledge representations involved in AI Explain the concepts behind the various networks and other knowledge representations involved in AI

4. Main Concepts Artificial Intelligence (AI) – the study of computer systems that attempt to model and apply the intelligence of the human mind Artificial Intelligence (AI) – the study of computer systems that attempt to model and apply the intelligence of the human mind Turing Test – a test used to empirically determine whether a computer has achieved intelligence Turing Test – a test used to empirically determine whether a computer has achieved intelligence Weak equivalence – the equality of two systems based on their results Weak equivalence – the equality of two systems based on their results Strong equivalence – the equality of two systems based on their results and the process by which they arrive at those results Strong equivalence – the equality of two systems based on their results and the process by which they arrive at those results Knowledge Representation – the techniques used to represent knowledge so that a computer system can apply it to intelligent problem solving Knowledge Representation – the techniques used to represent knowledge so that a computer system can apply it to intelligent problem solving

5. References Dale, Nell and John Lewis. Computer Science Illuminated. Massachusetts: Jones and Bartlett Publishers, 2006. Dale, Nell and John Lewis. Computer Science Illuminated. Massachusetts: Jones and Bartlett Publishers, 2006. Nilsson, Nils J. Artificial Intelligence: A New Synthesis. California: Morgan Kaufmann Publishers, 1998. Nilsson, Nils J. Artificial Intelligence: A New Synthesis. California: Morgan Kaufmann Publishers, 1998.