Undergraduate Course: Agent Based Systems (Level 10) (INFR10049)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Not available to visiting students
|Credit level (Normal year taken)||SCQF Level 10 (Year 4 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.
Course Delivery Information
|Delivery period: 2011/12 Semester 2, Not available to visiting students (SS1)
||WebCT enabled: No
|No Classes have been defined for this Course|
||Week 1, Monday, 10:00 - 10:50, Zone: Central. DHT Faculty Rm North |
|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||Dr Amos Storkey
Tel: (0131 6)51 1208
|Course secretary||Miss Tamise Totterdell
Tel: 0131 650 9970
© Copyright 2011 The University of Edinburgh - 16 January 2012 6:16 am