AI:Constraint Satisfaction

Overview

Discover the fascinating world of artificial intelligence (AI) problem solving with our 2-credit course on "AI:

Constraint Satisfaction". This course delves into the art of solving problems by posing them as constraint satisfaction problems (CSPs), a method that draws inspiration from the myriad ways human beings approach problem-solving.

Whether these AI problem solvers are based on search algorithms, memory, or knowledge representation and reasoning, CSPs offer a unique approach by allowing the integration of search-based methods with reasoning for effective solutions. Participants will learn how to formulate problems as CSPs and leverage off-the-shelf solvers to navigate through challenges efficiently.

As a companion course to both “Artificial Intelligence:

Search Methods for Problem Solving” and “Artificial Intelligence:

Knowledge Representation & Reasoning”, this offering builds upon the foundational knowledge provided in these courses, with all lectures available online for an enriched learning experience.

Tailored specifically for undergraduate and postgraduate students studying any degree in Computer Science, this course does recommend prior exposure to AI search methods and knowledge representation and reasoning, although it is not a strict prerequisite.

Supported by the software industry, which is keenly invested in the development and application of AI technologies, this course is brought to you by the Indian Institute of Technology Madras and delivered through Swayam. It falls under the category of Artificial Intelligence Courses, promising not only theoretical knowledge but also practical insights into the ever-evolving field of artificial intelligence.

Subjects