Description
Principles and tools used in Artificial Intelligence. Fundamentals of Knowledge Representation and Reinforcement Learning and Nature-Based computing. Methods for non-adversarial problem solving including non-exhaustive and heuristic-based strategies for searching the state space. Methods for adversarial problem solving, modeled as two-person and multi-person games.
Prerequisites
- Prerequisite(s): COMP 2402 and ( COMP 2404 or SYSC 3010 or SYSC 3110 ) and COMP 2804 .
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for COMP 4106 (no longer offered), SYSC 4416 .
- Prerequisite(s): COMP 2402 and ( COMP 2404 or SYSC 3010 or SYSC 3110 ) and COMP 2804 .
- Lectures three hours a week.
Reference text in its original language
Principles and tools used in Artificial Intelligence. Fundamentals of Knowledge Representation and Reinforcement Learning and Nature-Based computing. Methods for non-adversarial problem solving including non-exhaustive and heuristic-based strategies for searching the state space. Methods for adversarial problem solving, modeled as two-person and multi-person games.
- Prerequisite(s): COMP 2402 and ( COMP 2404 or SYSC 3010 or SYSC 3110 ) and COMP 2804 .
- Precludes additional credit for Precludes additional credit for COMP 4106 (no longer offered), SYSC 4416 .
- Lectures three hours a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/COMP/