Undergraduate Course: Agent Based Systems (Level 10) (INFR10049)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Available to all students
|Credit level (Normal year taken)||SCQF Level 10 (Year 3 Undergraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||Agent technology has emerged as a new area within Artificial Intelligence in the last two decades, exploring systems in which it is assumed that the computational components are autonomous, and interact with each other in a common environment. The aim of this course is to provide a comprehensive introduction to agents and multiagent systems. It covers a broad range of topics including agent architectures, agent interaction and communication, and game-theoretic methods and models of distributed rational decision making.
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
Informatics 2D - Reasoning and Agents (INFR08010) OR
Informatics Research Review (INFR11034)
|Prohibited Combinations|| Students MUST NOT also be taking
Agent Based Systems (Level 9) (INFR09036)
||Other requirements|| This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.
Informatics 2D or equivalent background for MSc Students. Logic Programming is strongly recommended.
Students must also have a basic knowledge of probability theory and a good command of propositional and first-order logic.
|Additional Costs|| None
Information for Visiting Students
|Displayed in Visiting Students Prospectus?||Yes
Course Delivery Information
|Delivery period: 2013/14 Semester 2, Available to all students (SV1)
||Learn enabled: No
|Course Start Date
|Breakdown of Learning and Teaching activities (Further Info)
Lecture Hours 20,
Seminar/Tutorial Hours 8,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Breakdown of Assessment Methods (Further Info)
||Hours & Minutes
|Main Exam Diet S2 (April/May)||2:00|
Summary of Intended Learning Outcomes
|- Describe and discuss different architectures for intelligent agents and interaction mechanisms for cooperative and competitive settings.
- Use abstract formal models of agents and agent interactions to analyse the properties of concrete designs.
- Explain the algorithmic and theoretical foundations of agents and multiagent systems, with an emphasis on knowledge-based and game-theoretic techniques.
- Be able to model, analyse and critically evaluate distributed systems using agent-based abstractions and related concepts.
- Design and implement agent-based systems using modern implementation platforms and agent programming languages.
- Design and conduct empirical experiments and evaluate the performance of implemented agent-based systems.
|Written Examination: 75%|
Assessed Assignments: 25%
Oral Presentations: 0%
Two programming exercises.
- Definitions of agency
- Properties of agents
2. Agent architectures
- Deductive reasoning agents
- Practical reasoning
- Reactive and hybrid agents
3. Agent interaction
- Agent communication
- Game-theoretic models of interaction
4. Distributed rational decision making
- Social choice and voting
- Coalition formation
- Resource allocation
5. Logics for multiagent systems
||- M. Wooldridge. An Introduction to MultiAgent Systems, 2nd edition, John Wiley & Sons, 2009
- Y. Shoham and K. Leyton-Brown. Multiagent Systems: Algorithmic, Game Theoretic and Logical Foundations, Cambridge University Press, 2009.
Timetabled Laboratories 0
Non-timetabled Assessed Assignments 25
Private Study/Other 47
|Course organiser||Mr Vijayanand Nagarajan
Tel: (0131 6)51 3440
|Course secretary||Miss Claire Edminson
Tel: (0131 6)51 7607
© Copyright 2013 The University of Edinburgh - 13 January 2014 4:27 am