Upon successful completion of this course, the student:
- knows the philosophical and logical foundations of agent technology
- is able to read and assess the research literature in this field masters important agent architectures and can apply them to build running agents
- is able to use logic as a modelling and specification framework for AI applications, and thus contributes to the mastery of technical artificial intelligence at an advanced academic level
- has a good understanding of how agent technology falls within the areas of AI and computer science
Assessment
Project 30%, Online Quizzes 10%, Final Exam 60%. Y
You need to get an overall grade of 4 to attend the resit exam.
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This course is about the theory of so-called intelligent agents, pieces of software that perceive, reason, and act while displaying some degree of autonomy.
The agent concept calls for an integration of several topics in artificial intelligence, such as knowledge representation and reasoning (in particular reasoning about action and change) and planning. Agent technology, as the field is generally called, has a great potential of applications, ranging from intelligent personal assistants to e-commerce and robotics.
The course is devoted mainly to the philosophical and theoretical (mostly logical) foundations of the area of intelligent agents, both focusing on single agents and on multi-agent systems.
Please see Blackboard for further details:
https://uu.blackboard.com/webapps/blackboard/content/listContent.jsp?course_id=_128321_1&content_id=_3478585_1&mode=reset
Overview in brief: * introduction "What are intelligent agents?" * agent architectures * knowledge representation, ontologies, Web Ontology Language (OWL) * agent communication * goals * trust and privacy
Course form
Lectures, presentations, project
Literature
Textbooks and a collection of articles.
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