STIN 3054 || Undergraduate
Synopsis:
This course covers an introduction to intelligent agents and multi-agent systems. Students will learned the fundamental understanding of key concepts for agent-based systems, such as reasoning and architectures, cooperative distributed problem solving, and the important concepts in agent-based modeling for several social science problems.
Learning Outcomes:
Upon completion of the course, students should be able to:
Course Information:
Coordinator: Dr Azizi Ab Aziz
Level: Undergraduate (STIN 3054)
E-mail : aziziaziz [at] uum [dot] edu [dot] my
Time : Monday & Thursday (1430-1550 hrs)
Consultation Time: Tuesday (0900-1200 hrs) *you can make an appointment if you're unable to comply with the time frame
Location: WEBEX & UUM Digital Learning Platform
Announcement :
Syllabus & Lecture Notes:
Assignments/ Project:
*all assignments should be submitted via UUMOnline Learning Portal
Reading Materials: Software / Tools:
This course covers an introduction to intelligent agents and multi-agent systems. Students will learned the fundamental understanding of key concepts for agent-based systems, such as reasoning and architectures, cooperative distributed problem solving, and the important concepts in agent-based modeling for several social science problems.
Learning Outcomes:
Upon completion of the course, students should be able to:
- Understand the variety of connotations that agent-based computation implies and appreciate how the field fits into Artificial Intelligence and more broadly, Computer Science.
- Understand how the importance of reasoning and how this can be incorporated into an embodied agent. Differentiate and motivate various agent architectures. Understand the historical development of the agent architecture field.
- Comprehend the complexity that a multi-agent system entails and understand how agents work together to perform distributed problem solving.
- Appreciate the value of computational agents in modeling the societal behaviours and to understand how these agents interact with each other and make decisions.
- Gain awareness of several advanced applications of intelligent agents and multi-agent systems such as interface agents, business process management, social simulation, multi-agent based electronic marketplaces, etc.
Course Information:
Coordinator: Dr Azizi Ab Aziz
Level: Undergraduate (STIN 3054)
E-mail : aziziaziz [at] uum [dot] edu [dot] my
Time : Monday & Thursday (1430-1550 hrs)
Consultation Time: Tuesday (0900-1200 hrs) *you can make an appointment if you're unable to comply with the time frame
Location: WEBEX & UUM Digital Learning Platform
Announcement :
- Take note our 5th assignment (submission date - 8th July 2021 - by 12 midnight) via your learning portal.
- Your final project due date - 18th July 2021. Stay tune!
Syllabus & Lecture Notes:
- Part I: Introduction to Intelligent Agent
- Part II: Autonomous Agent
- Part III: Multi-Agent Systems
- Part IV: Selected Topics in Intelligent Agent
- Practical (LEADSTO Programming )
- Practical (Octave/Matlab Programming Language)
Assignments/ Project:
*all assignments should be submitted via UUMOnline Learning Portal
- Assignment / Lab Work
- Assignment #1 (submission date 9th April 2021)
- Assignment #2 (submission date 22nd/April/2021)
- Assignment #3 (submission date 2nd /June/2021)
- Assignment #4 (submission date 18/June/2021)
- Assignment #5 (submission date 8/July/2021) <<
- Individual Project (submission date 17/July/2021) <<
Reading Materials: Software / Tools: