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Artificial Intelligence (AI) is the study and design of intelligent agents or networks.  AI is closely tied to the study of decision theory in mathematics and computer science.  Decision theory is concerned with identifying the values, risks and uncertainties associated with important decisions   The goal of AI is to develop new approaches to

reasoning and problem solving.  What all AI systems share in common is the ability to reason, problem solve and take corrective action based on preprogrammed assumptions

and information inputs.


There are two distinguishing features that characterize all AI systems.  First, the AI system must have the ability to scan its external surroundings.  Second, the AI system

must have the ability to evaluate a situation and initiate    an appropriate decision/response.  The decision must be rationale. We call this adaptation. 



Suggested Readings

Russell, S. & Norvig, P.  Artificial Intelligence: A Modern Approach. 4th ed. (New York, Pearson, 2020).

Russell, S.  Human Compatible: Artificial Intelligence and the Problem of Control. (New York: Viking, 2019).

Tegmark, M.  Life 3.0: Being Human in the Age of Artificial Intelligence. (New York: Knopf-Doubleday, 2017).


Suggested Video Presentations

Biggest Advancements in Artificial Intelligence,  Available at:


Hanson: Sophia AI Prototype, Available at:

Lex Fridman Interview with Peter Norvig: Artificial Intelligence: A Modern Approach

Max Tegmark lecture on Life 3.0 – Being Human in the Age of Artificial Intelligence, Available at:

WSJ Interview with Elon Musk, Innovation and Artificial Intelligence, Available at: