Lecture 3A (2022-02-03): Genetic Programming and Intro. to Multi-criteria Decision-making and Pareto Optimality

In this lecture, we wrap up our brief discussion of evolutionary and genetic programming, with examples going from evolving finite state machines (FSMs) to evolving abstract syntax trees (ASTs) to medical decision trees, with a few comments about genetic programming (GP, GenProg) using One Instruction Set Computer (OISC) languages. We then pivot to introducing multi-criteria decision making (MCDM), with our initial focus on the Nash equilibrium solution concept (at least in continuous games). We will introduce another important solution concept -- Pareto optimality -- starting in the next lecture.

Whiteboard notes for this lecture can be found at: https://www.dropbox.com/s/iqhma6rxgrlphqw/IEE598-Lecture3A-2022-02-03-GenProg_and_Intro_to_MCDM_and_Pareto_Optimality.pdf?dl=0