Exploring Design Space for an Integrated Intelligent System

Nicholas Hawes, Jeremy Wyatt, Aaron Sloman

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
175 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)509-515
Number of pages7
JournalKnowledge-Based Systems
Volume22
Issue number7
DOIs
Publication statusPublished - 1 Oct 2009

Keywords

  • Robotics
  • Intelligent systems
  • Information-processing architectures

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