@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <http://sourceforge.net/users/patstg/>
@COMMENT This file came from Alan K. Mackworth's publication pages at
@COMMENT http://www.cs.ubc.ca/~mack/publications
@InCollection{CVSTA93,
  author =	 {Alan K. Mackworth},
  title =	 {On Seeing Robots},
  booktitle =    {Computer Vision: Systems, Theory and Applications},
  Editor =       {A. Basu and X. Li},
  publisher =    {World Scientific Press},
  year =	 {1993}, 
  address =      {Singapore},
  pages =         {1--13},
  note =         {Reprinted in P. Thagard (ed.), Mind Readings, MIT Press, 1998.},
  abstract =	 {Good Old Fashioned Artificial Intelligence and Robotics (GOFAIR) relies on a set
                  of restrictive Omniscient Fortune Teller Assumptions about the agent, the world and their
                  relationship. The emerging Situated Agent paradigm is challenging GOFAIR by grounding
                  the agent in space and time, relaxing some of those assumptions, proposing new architectures
                  and integrating perception, reasoning and action in behavioral modules. GOFAIR is
                  typically forced to adopt a hybrid architecture for integrating signal-based and symbol-based
                  approaches because of the inherent mismatch between the corresponding on-line and off-line
                  computational models. It is argued that Situated Agents should be designed using a unitary
                  on-line computational model. The Constraint Net model of Zhang and Mackworth satisfies
                  that requirement. Two systems for situated perception built in our laboratory are described
                  to illustrate the new approach: one for visual monitoring of a robot’s arm, the other for
                  real-time visual control of multiple robots competing and cooperating in a dynamic world.},
  bib2html_pubtype ={Book Chapter},
  bib2html_rescat ={},
}