Overview: foundations, scope, problems, and approaches of AI.

From brain models of technology: perceptron, feedforward neural networks, recurrent neural

networks, neural models of memory, neural models of clustering, learning methods with neural

networks, practical applications with artificial neural networks.

From neurons to Intelligent agents: reactive, deliberative, goal-driven, utility-driven, and

learning agents

Problem-solving through Search: forward and backward, state-space, blind, heuristic, problemreduction,

A, A*, AO*, minimax, constraint propagation, neural, stochastic, and evolutionary

search algorithms, sample applications.

Knowledge Representation and Reasoning: ontologies, foundations of knowledge

representation and reasoning, representing and reasoning about objects, relations, events, actions,

time, and space; predicate logic, situation calculus, description logics, reasoning with defaults,

reasoning about knowledge, sample applications.

Planning: planning as search, partial order planning, construction and use of planning graphs

Representing and Reasoning with Uncertain Knowledge: probability, connection to logic,

independence, Bayes rule, bayesian networks, probabilistic inference, sample applications.

The following will be fast learnt in class and groups will take topics with projects:

Machine Learning and Knowledge Acquisition: classifiers, clustering techniques. Include

based on time permitting exploration, nearest neighbor, decision tree classifiers, Q-learning,

multi-agent systems, support vector machines, support vector clustering.

Sample Applications of AI, student project presentations.

The text for the course are:

1. Artificial Intelligence: A Modern Approach, 3rd Edition, by Stuart Russell and Peter Norvig.,

2. Neural Networks: A Comprehensive Foundation (2nd Edition) by Simon Haykin OR Neural

Networks and Learning Machines (3rd Edition) by Simon Haykin

The course will often draw upon a variety of additional readings to supplement the treatment of

topics available in the primary textbook.