Il corso mostra, tramite alcuni esempi, una delle possibilità offerta dalla diffusione dei calcolatori nel mondo che ci circonda: comunicare con gli oggetti usando "il linguaggio", per programmarli e realizzare idee altrimenti impossibili.
The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications. The January 2015 session was the final version of the course. It will remain open so that those interested can register and access all the materials.
The January to March 2015 session was the final version of the course, but it remains open until March 2016 so that those interested can register and access all the materials. All assignments are available to try but will not score or be eligible for a statement of accomplishment.
The University of Edinburgh AI Planning MOOC ran on the Coursera platform in January 2013, January 2014 and January 2015 and was then left open for continuing access and new registrations to 31st march 2016. At that date due to changes in the Coursera platform, that version will no longer be accessible.
The University of Edinburgh provides all the materials for continuing access and reuse (CC-BY-NC) via http://www.aiai.ed.ac.uk/project/plan/ooc/
The AI Planning MOOC course videos are also all accessible via YouTube at http://bit.ly/aiplanmooc
The course aims to provide a foundation in artificial intelligence techniques for planning, with an overview of the wide spectrum of different problems and approaches, including their underlying theory and their applications. It will allow you to:
- Understand different planning problems
- Have the basic know how to design and implement AI planning systems
- Know how to use AI planning technology for projects in different application domains
- Have the ability to make use of AI planning literature
Planning is a fundamental part of intelligent systems. In this course, for example, you will learn the basic algorithms that are used in robots to deliberate over a course of actions to take. Simpler, reactive robots don't need this, but if a robot is to act intelligently, this type of reasoning about actions is vital.