Syllabus
Intelligent Systems – Definition, Need and role of embedded engineers. Architectures of intelligent systems – Automation, sensors, artificial intelligence techniques, actuators. Intelligent agents – definition, applications of intelligent agents in science, technology, business and commercial. Supporting technologies – Data mining, knowledge management, control and automation. Types of systems – Expert Systems, Recommendation Systems, Cognitive Systems, Swarm intelligent systems, Hybrid computing systems. Behaviour Oriented Design (BOD) – Definition, Extension to object-oriented design, process of specifying agency, specifying the agent’s priorities using POSH dynamic plans.
Objectives and Outcomes
Course Outcomes:
CO1: Understand the need and scope of intelligent systems and the role of embedded engineers in the design of such systems.
CO2: Familiarize the components of intelligent systems especially intelligent agents and its applications.
CO3: Analyse the various types of intelligent systems.
CO4: Understand Behaviour Oriented Design and process of defining agents.
Text Books / References
Textbooks / References:
1. Karray F, Karray FO, De Silva CW, “Soft computing and intelligent systems design: theory, tools, and applications”, Pearson Education; 2009.
2. Larry Bielawski, Robert Lewand, “Intelligent Systems Design: Integrating Expert Systems, Hypermedia, and Database Technologies”, First Edition, Wiley Professional Computing.
3. Alexander M. Meystel, James S. Albus, “Intelligent Systems: Architecture, Design, and Control”, First Edition, Wiley – Interscience Publication, 2002.
4. Anindita Das, “Artificial Intelligence and Soft Computing for Beginners”, 2nd Edition, Arizona Business Alliance, 2014.
