Advanced Topics in Artificial Intelligence

Present / deepen basic topics and problem solving techniques in Artificial Intelligence (AI), introducing one or more of the following topics in AI: fuzzy inference systems, neural networks, genetic algorithms, multi-agent systems and distributed AI, complex networks, AI planning and applications, decision support systems, or any other theme that represents the state of the art in AI.

Basic Information

Workload
45 hours

Mandatory: 

  • Bramer, M., & Devedzic, V. (2004). Artificial Intelligence Applications and Innovations. Kluwer Academics.
  • Fulcher, J. (2006). Advances in Applied Artificial Intelligence. Idea Grouping inc.
  • Konar, A. (2000). Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain. CRC Press.
  • Russell, S., & Norvig, P. (2003). Artificial Intelligence: a modern approach. Prentice-Hall Inc.
  • Visser, U. (2005). Intelligent Information Integration for the Semantic Web. Springer.
  • Zhang, Y.-Q., Kandel, A., Lin, T. Y., & Yao, Y. Y. (Eds.). (2004).Computational Web Intelligence: Intelligent Technology for Web Applications. World Scientific Co.