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Intelligent agents

Website:website containing additional information
Course code:INFOIAG
Credits:7.5 ECTS
Period:period 4 (week 17 through 26, i.e., 23-4-2018 through 29-6-2018; retake week 28)
Participants:up till now 29 subscriptions
Schedule:Official schedule representation can be found in Osiris
lecture   Tue 13.15-15.0017-25 BBG-001 John-Jules Meyer
Mehdi Dastani
Pinar Yolum
Thu 11.00-12.4517-18 BBG-201
20-25 BBG-201
week: 26Tue 26-6-201813.30-16.30 uurroom: EDUC-ALFA
week: 28Tue 10-7-201813.30-16.30 uurroom: BBG-209retake exam
Note:No up-to-date course description available.
Text below is from year 2016/2017
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-agentsystems.
Literature:May change!
Collection of articles.
Course form:Lectures and exercise classes (`werkcolleges')
Exam form:Written exam.
Minimum effort to qualify for 2nd chance exam:To qualify for the retake exam, the grade of the original must be at least 4.
Description:Overview in brief: * introduction "What are intelligent agents?" * philosophical background: Aristotle, Dennett, Bratman * logical foundations of actions and single agents: modal, temporal and dynamic logicc, BDI logic, KARO logic * reasoning about actions: frame problem, situation calculus, planning * reasoning about multi-agent systems