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Agents & Multi-Agent Systems (Module)

Module description

Aims
To describe some techniques employed in the characterisation of agents and multi-agent systems. To provide a critical introduction to theories and methods regarding multi-agent computer systems and their component agents.

Learning Outcomes
On completion of the module, you will be expected to have acquired: A thorough, systematic understanding of key features of current theories and methods regarding multi-agent systems and their component agents; A sound appreciation of the conceptual issues involved in the characterisation of agents and their abilities; Knowledge of some of the main techniques employed in the formal characterisation of agents and multi-agent systems; An ability to critically evaluate current work in this field, and to evaluate the principal theories and methods.

Provisional Syllabus
Topics will be selected from:
Intelligent agents and their design
Knowledge in multi-agent systems
The Belief-Desire-Intention model of rational agents
Reactive and hybrid agent architectures
Agent Communication: KQML, FIPA
Auctions and Negotiations Game Theory Argumentation based Reasoning and Communication
Agent-based methodologies Applications

Staff information

Not applicable

Teaching pattern

Not applicable

Module assessment - more information

Not applicable

Optional module for

Key information

Module code 7CCSMAMS

Credit level 7

Assessment

Credit value 15

Semester Semester 1 (autumn)

Study abroad module Yes