A General Architecture for Robotics Systems: A Perception-Based Approach to Artificial Life

Departing from the conventional view of the reasons for the behavior of living systems, this research presents a radical and unique view of that behavior, as the observed side effects of a hierarchical set of simple, continuous, and dynamic negative feedback control systems, by way of an experimental model implemented on a real-world autonomous robotic rover. Rather than generating specific output from input, the systems control their perceptual inputs by varying output. The variables controlled do not exist in the environment, but are entirely internal perceptions constructed as a result of the layout and connections of the neural architecture. As the underlying processes are independent of the domain, the architecture is universal and thus has significant implications not only for understanding natural living systems, but also for the development of robotics systems. The central process of perceptual control has the potential to unify the behavioral sciences and is proposed as the missing behavioral principle of Artificial Life.

[1]  S. Nieuwenhuis,et al.  The impact of alertness on cognitive control. , 2013, Journal of experimental psychology. Human perception and performance.

[2]  R. Marken,et al.  Perceptual Control as a Unifying Concept in Psychology , 2013 .

[3]  H. Yin.  How Basal Ganglia Outputs Generate Behavior , 2014 .

[4]  Igor Dolgov,et al.  Chasin’ choppers: using unpredictable trajectories to test theories of object interception , 2013, Attention, perception & psychophysics.

[5]  Scott M Krauchunas,et al.  How Dogs Navigate to Catch Frisbees , 2004, Psychological science.

[6]  J. Hawkins,et al.  On Intelligence , 2004 .

[7]  Marvin Minsky,et al.  Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.

[8]  W. T. Powers.  Quantitative Analysis of Purposive Systems: Some Spadework at the Foundations of Scientific Psychology , 1978 .

[9]  Zoubin Ghahramani,et al.  Computational motor control , 2004 .

[10]  Richard S Marken,et al.  Optical trajectories and the informational basis of fly ball catching. , 2005, Journal of experimental psychology. Human perception and performance.

[11]  Philip J. Runkel,et al.  The collective control of perceptions : constructing order from conflict , 2003 .

[12]  Allen L. Edwards,et al.  Experimental Design in Psychological Research. , 1951 .

[13]  R. Marken,et al.  Controlled variables: psychology as the center fielder views it. , 2001, The American journal of psychology.

[14]  M. Bedau.  Artificial life: organization, adaptation and complexity from the bottom up , 2003, Trends in Cognitive Sciences.

[15]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[16]  Kristi A Morgansen,et al.  Flexible strategies for flight control: an active role for the abdomen , 2013, Journal of Experimental Biology.

[17]  John Illingworth,et al.  A fixation and viewpoint measure for object-based gaze control , 1997, BMVC.

[18]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[19]  P. Simmons,et al.  Nerve Cells and Animal Behaviour , 1989 .

[20]  William T. Powers,et al.  Models and their worlds , 1999, Int. J. Hum. Comput. Stud..

[21]  Michael L. Anderson.  Embodied Cognition: A field guide , 2003, Artif. Intell..

[22]  Ricardo O. Carelli,et al.  Adaptive servo visual robot control , 2003, Robotics Auton. Syst..

[23]  Christina Kluge,et al.  Experimental Design In Psychological Research , 2016 .

[24]  Alexander Dietrich,et al.  Catching flying balls with a mobile humanoid: System overview and design considerations , 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

[25]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[26]  François Chaumette,et al.  Visual servo control. I. Basic approaches , 2006, IEEE Robotics & Automation Magazine.

[27]  H. Hausen,et al.  Mechanism of phototaxis in marine zooplankton , 2008, Nature.

[28]  R. Brooks.  The relationship between matter and life , 2001, Nature.

[29]  S. Pellis,et al.  Closing the circle between perceptions and behavior: A cybernetic view of behavior and its consequences for studying motivation and development , 2011, Developmental Cognitive Neuroscience.

[30]  F. Keijzer.  The Sphex story: How the cognitive sciences kept repeating an old and questionable anecdote , 2013 .

[31]  W. T. Powers.  Behavior, the control of perception , 1973 .

[32]  Rupert. Young.  Visual control in natural and artificial systems , 2000 .

[33]  Trevor J. M. Bench-Capon,et al.  Argumentation in artificial intelligence , 2007, Artif. Intell..

[34]  Joaquim Salvi,et al.  The SLAM problem: a survey , 2008, CCIA.

[35]  Seth Hutchinson,et al.  Visual Servo Control Part I: Basic Approaches , 2006 .

[36]  Rodney A. Brooks,et al.  Intelligence Without Reason , 1991, IJCAI.

[37]  Jesse J. Prinz,et al.  Beyond Appearances: The Content of Sensation and Perception , 2007 .

[38]  V. Braitenberg.  Vehicles, Experiments in Synthetic Psychology , 1984 .

[39]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[40]  Jonathan Wright.  Foraging: Behavior and Ecology, David W. Stephens, Joel S. Brown, Ronald C. Ydenberg (Eds.). University of Chicago Press, Chicago (2007), Pp. xiii+608. Price £23.50 paperback , 2008 .

[41]  Geoffrey E. Hinton.  Deep belief networks , 2009, Scholarpedia.

[42]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[43]  Hui Wang,et al.  Vehicle adaptive cruise control design with optimal switching between throttle and brake , 2012 .

[44]  Lawrence G. Roberts,et al.  Machine Perception of Three-Dimensional Solids , 1963, Outstanding Dissertations in the Computer Sciences.

[45]  W. Mansell,et al.  A biopsychosocial model based on negative feedback and control , 2014, Front. Hum. Neurosci..

[46]  Hugh F. Durrant-Whyte,et al.  Simultaneous localization and mapping: part I , 2006, IEEE Robotics & Automation Magazine.