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Syllabus for

Academic year
FFR125 - Autonomous agents
 
Owner: FCMAS
5,0 Credits (ECTS 7,5)
Grading: TH - Five, Four, Three, Not passed
Level: C
Department: 16 - PHYSICS


Teaching language: English
Maximum participants: 35

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 No Sp
0199 Examination 5,0 c Grading: TH   2,0 c 3,0 c   Contact examiner,  Contact examiner

In programs

TDATA COMPUTER SCIENCE AND ENGINEERING - Other elective courses, Year 4 (elective)
TTFYA ENGINEERING PHYSICS, Year 4 (elective)
FCMAS MSc PROGRAMME IN COMPLEX ADAPTIVE SYSTEMS, Year 1 (compulsory)

Examiner:

Professor  Mattias Wahde



Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Aim

The course aims at giving the students an understanding of design principles for autonomous systems, both robots and software agens, and also gives students the opportunity to apply their knowledge in practice by constructing a simple autonomous robot.

Content

The course consists of lectures, which include the following topics:
- Theory of autonomous robots, kinematics and dynamics
- Behavior-based robotics
- Evolutionary robotics
- Utility theory, behavioral economics, theory of rational decision-making
- Behavioral organization in autonomous robots
- Artificial life
- Swarm intelligence
- Software agents, particularly, agent-based economics
- Learning in autonomous agents
- Robot construction
In addition, a robot construction project is carried out.

Organisation

The lecture part is intended to give the students a solid theoretical understanding of autonomous agents and how they can interact. The project part is carried out in small groups and is intended to give students an opportunity to apply their knowledge to to the problem of building a small autonomous robot.

Literature

Floreano, D. and Nolfi, S. Evolutionary robotics.
Arkin, R.C. Behavior-based robotics.
Handouts (provided by the lecturer).

Examination

Home problems and a small mid-term exam. In addition, the robot construction project will be graded.


Page manager Published: Thu 03 Nov 2022.