CS 3570 Neurosymbolic Collective Intelligence 3.0 Credits
This course introduces biologically inspired and population-based approaches to problem solving in optimization, prediction, and control. Topics include evolutionary algorithms, swarm intelligence, NeuroSymbolic computing, wisdom-of-crowds methods, and related multi-agent models for search, adaptation, and decision making. Emphasis is placed on understanding collective behavior, integrating neural and symbolic representations in agent-based systems, designing agent-based systems, and applying these techniques to complex computational problems.
Repeat Status: Not repeatable for credit
Prerequisites: (CS 2110 [Min Grade: D] or CS 260 [Min Grade: D]) and (CS 3510 [Min Grade: D] or CS 380 [Min Grade: D])