Exploring design space for an integrated intelligent system

  • Authors:
  • Nick Hawes;Jeremy Wyatt;Aaron Sloman

  • Affiliations:
  • Intelligent Robotics Lab, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK;Intelligent Robotics Lab, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK;Intelligent Robotics Lab, School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK

  • Venue:
  • Knowledge-Based Systems
  • Year:
  • 2009

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Abstract

Understanding the trade-offs available in the design space of intelligent systems is a major unaddressed element in the study of Artificial Intelligence. In this paper, we approach this problem in two ways. First, we discuss the development of our integrated robotic system in terms of its trajectory through design space. Second, we demonstrate the practical implications of architectural design decisions by using this system as an experimental platform for comparing behaviourally similar yet architecturally different systems. The results of this show that our system occupies a ''sweet spot'' in design space in terms of the cost of moving information between processing components.