To students who have studied Introduction to Artificial Intelligence, this course teaches advanced topics about analysis and design of intelligent systems based on methodologies of artificial intelligence. Through these, this course aims to train students to understand advanced theories and techniques for developing practical systems.
By the end of this course, students will be able to analyze and design 1) fuzzy set theory and decision-making process, 2) ontology, 3) brain informatics of learning mechanism, 4) co-creation system, and 5) agent based modeling by using artificial intelligence technology.
Fuzzy Set Theory, Ontology, Braininformatics, Co-creation System, Agent Based Modeling
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||✔ Practical and/or problem-solving skills|
At every class, topics specified in the course schedule are explained using practical examples. Also, students are given exercise problems related to the lecture given that day to solve. To prepare for a class, students should read the course schedule section and check what topics will be covered. Required learning should be completed outside of the classroom for preparation and review purposes.
|Course schedule||Required learning|
|Class 1||Fuzzy Set Theory||Understand the contents covered by the lecture.|
|Class 2||Non-additive probabilities and decision making||Understand the contents covered by the lecture.|
|Class 3||Formal Concept Analysis||Understand the contents covered by the lecture.|
|Class 4||Basis of Ontology||Understanding basis of ontology|
|Class 5||Ontology in Web||Understanding ontology in Web|
|Class 6||Predicate logic and Description logic||Understanding relation between predicate logic and description logic|
|Class 7||Brain mechanism of reinforcement learning||To be annouced in class|
|Class 8||Active learning||To be annouced in class|
|Class 9||Neural mechanism for computation of information value||To be annouced in class|
|Class 10||Intelligence as Co-creation System||To be annouced in class|
|Class 11||Co-creation between Human and Artifacts||To be annouced in class|
|Class 12||Communication and Co-creation||To be annouced in class|
|Class 13||Agent Based Modeling and Simulation||To be annouced in class|
|Class 14||Recommendation Systems||To be annouced in class|
|Class 15||Business Applications of Artificial Intelligence||To be annouced in class|
B. Ganter & R. Wille “Formal Concept Analysis — Mathematical Foundations” Springer, 1999: ISBN 978-3-540-62771-5
Students are assessed on exercises (80%) and assignments (20%) in class.
Introduction to Artificial Intelligence