|Website:||website containing additional information|
|Period:||period 1 (week 36 through 45, i.e., 2-9-2019 through 8-11-2019; retake week 1 (bachelor) / 2 (master))
|Participants:||up till now 47 subscriptions|
|Schedule:||Official schedule representation can be found in MyTimetable|
|Contents:||This course is about the theory of so-called intelligent agents, pieces of software that display some degree of autonomy, realised by incorporating `high-level cognitive / mental attitudes' into the modelling of this kind of software. These mental attitudes comprise 'informational' and 'motivational' ones and are often of the so-called BDI kind, dealing with 'beliefs', 'desires' and 'intentions' of agents. 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 (where in the latter case often the term 'cognitive robotics' is used).
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.
|Literature:||Textbooks and collection of articles.|
|Course form:||Lectures, presentations, project|
|Exam form:||Written exam and presentations.
|Minimum effort to qualify for 2nd chance exam:||You need to have a grade of 4 in the final exam to participate in the retake exam.|
|Description:||Please see the Blackboard page for details.
Overview in brief:
* introduction "What are intelligent agents?"
* agent architectures
* knowledge representation, ontologies, Web Ontology Language (OWL)
* agent communication
* trust and privacy