Software Agents

Course Description

Basic concepts and characteristics of (mobile) software agents and agent systems. A (mobile) software agent programming model. (Mobile) agents system: management, mobility, communication and collaboration. Agent languages, protocols and standards. Semantic agents. Agent platforms, security mechanisms, interactions of different systems. Multi-agent systems. Multi-agent systems for simulations and electronic markets. Multi-agent systems in M2M (Machine-to-Machine) environment. Application of game theory in multiagent systems.

Learning Outcomes

  1. Apply knowledge of software agents and agent systems
  2. Use an agent platform for programming software agents
  3. Apply software agents for different types of problems
  4. Analyze a multi-agent system
  5. Design a multi-agent system
  6. Develop an agent system
  7. Identify concepts of mobility, communication, collaboration, and agent management
  8. Create an agent system in the Java programming language

Forms of Teaching



Independent assignments



Practical exercises

Week by Week Schedule

  1. Structure and characteristics of software agents
  2. Remote programming models; Model of a mobile software agent; Mobile agent systems: management and mobility; Mobile agent platforms
  3. Security issues in multi-agent systems: security requirements, mechanisms, and standards
  4. Intelligent agents and applications: case study focused on electronic markets
  5. Programming software agents for mobile devices
  6. Programming software agents for mobile devices
  7. Communication in multi-agent systems: Agent Communication Language (ACL) and Knowledge Query and Manipulation Language (KQML) languages; Structure of messages and protocols; Communication based on ontologies and semantic web mechanisms
  8. Midterm exam
  9. Models of cooperation and negotiation in multi-agent systems: organization and coordination of agents, agent teams, delegation of tasks to agents
  10. Agent architectures (e.g., reactive, layered, cognitive)
  11. Rationality; Game theory; Markov decision processes (MDP)
  12. Software agents, personal assistants, and information access
  13. Learning agents
  14. Multi-agent systems (collaborative agents, agent teams, competitive agents, swarm systems, and biologically inspired models)
  15. Final exam

Study Programmes

University graduate
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(.), W. R. Cockayne, M. Zyda, Mobile Agents, Prentice Hall, 1997.,
(.), M. Wooldridge, An introduction to MultiAgent Systems, Wiley, 2002.,
(.), Fasli, Maria (2007.), Agent Technology For E-Commerce, Wiley,
(.), Jain, C. L.,N. T. Nguyen (2009.), Knowledge Processing and Decision Making in Agent-Based Systems, Springer-Verlag,
(.), Ossowski, Sascha (2013.), Agreement Technologies, Springer,
(.), Alkhatib, Ghazi; Rine, David (2009.), Agent Technologies and Web Engineering: Applications and Systems, Hershey: Information Science Reference,

For students


ID 222688
  Summer semester
L3 English Level
L1 e-Learning
30 Lectures
6 Laboratory exercises

Grading System

Very Good