ACIT4610 Evolutionary Artificial Intelligence and Robotics Course description

This course will present complex systems (cellular automata, networks, and agent-based) modelling and programming through state-of-the-art artificial intelligence methods that take inspiration from biology (sub-symbolic and bio-inspired AI methods), such as evolutionary algorithms, neuro-evolution, artificial development, swarm intelligence, evolutionary and swarm robotics.

During this course, students will get both theoretical and practical experience within complex systems and bio-inspired/sub-symbolic AI methods.

This course will provide a nuancing of various principles of behavior and relate these principles to the understanding of complex human behavior.

For kull 2025: Coursework requirements from MALK4000-403, MALKA211, MALKA212, and MALKA214 or equivalent must be approved to participate and submit coursework requirements in MALKA215.

For tidligere kull: Coursework requirements from MALK4000-401, MALK4000-403, MALKA211, MALKA212, and MALKA214 or equivalent must be approved to participate and submit coursework requirements in MALKA215.

On successful completion of the course the student has the following learning outcomes classified as knowledge:

Knowledge

The student can

• describe and discuss important aspects of verbal behavior
• describe and discuss verbal governance and contingency shaping of behavior
• describe and discuss principles involved in joint control
• describe and discuss important aspects of stimulus equivalence
• describe and discuss the naming hypothesis
• describe and discuss Relational Frame Theory
• describe and discuss problem-solving, thinking, remembering, and higher-order classes of behavior

Skills

The student can

• analyze variables influencing complex human behavior
• present theories of complex human behavior and the scientific data underlying these theories in a manner striving for fairness, honesty, and excellence

Campus-based lectures, discussion from readings, exercises and Interteaching are the main teaching methods. Literature from the curriculum for the Interteaching sequences are announced at the university’s digital learning platform. Feedback is used on written assignments.

The following required coursework must be approved before the student can take the exam:

• 3 individual written assignments submitted digitally, each with a maximum length of 6000 characters, including spaces. References are to be included in the 6000 characters.

Individual school examination, 3 hours. Exam questions are in English. Students may submit their exams in Norwegian, Swedish, Danish or English.

Authorized materials: Norwegian-English dictionary

Grade scale A-F

All answers are assessed by one examiner.

An external examiner is used regularly, at a minimum of every third completion of the course. When selecting answers for external evaluation, a minimum of 10 percent of the answers shall be included, with no fewer than 5 answers. The external examiner’s assessment of the selected answers shall benefit all students.