Testing variation of attention capacities in a complex auto-adaptive system: a Stroop task simulation

The Stroop task is a test commonly used in psychology to study interferences that occur in control when two cognitive processes are in competition, and where a non-habitual response, needed to reach a defined goal, competes with the habitual response. Many computer simulations already exist for this task, mostly in neural networks. This article presents a new simulation approach, the first attempt to simulate the Stroop task using the properties of complexity and auto-adaptivity in a massive multi-agent system. Our approach allows us to simulate the time effects of cognitive impairment on the task, the adaptive cognitive behaviours involved, and is a first step for the simulation of cognitive disorders.

[1]  T. Gelder,et al.  Mind as Motion: Explorations in the Dynamics of Cognition , 1995 .

[2]  Dipti Srinivasan,et al.  An Introduction to Multi-Agent Systems , 2010 .

[3]  O. Spreen,et al.  A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary , 1991 .

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

[5]  Michael J. Spivey,et al.  The Continuity Of Mind , 2008 .

[6]  Hugo Liu,et al.  ConceptNet — A Practical Commonsense Reasoning Tool-Kit , 2004 .

[7]  J. Ridley.  Studies of Interference in Serial Verbal Reactions , 2001 .

[8]  M. Wheeler.  Reconstructing the Cognitive World: The Next Step , 2005 .

[9]  Marsha C. Lovett,et al.  Modeling selective attention: Not just another model of Stroop (NJAMOS) , 2002, Cognitive Systems Research.

[10]  D. M. Hutton,et al.  Cambrian Intelligence: The Early History of the New AI , 2000 .

[11]  R. Engle.  Role of Working‐Memory Capacity in Cognitive Control , 2010, Current Anthropology.

[12]  O. Spreen,et al.  Comprar A Compendium of Neuropsychological Tests - Administration, Norms, and Commentary | Esther Strauss | 9780195159578 | Oxford University Press , 2009 .

[13]  T. Shallice,et al.  Task Switching : A PDP Model , 2001 .

[14]  Pierre Poirier,et al.  Testing the Attention Capacities of a Complex Auto-Adaptive System: A Stroop Task Simulation , 2010, FLAIRS.

[15]  David Kirsh,et al.  Today the Earwig, Tomorrow Man? , 1991, Artif. Intell..

[16]  C. Lebiere,et al.  The Atomic Components of Thought , 1998 .

[17]  Donald A. Norman,et al.  Attention to Action , 1986 .

[18]  Mickaël Camus.  Morphology Programming with an Auto-Adaptive System , 2008, IC-AI.

[19]  Kathrin Schmitt,et al.  Fatigue of Cognitive Control in the Stroop-Task , 2009 .

[20]  M. Mitchell Waldrop,et al.  Complexity : the emerging science and the edge of order and chaos , 1992 .

[21]  Anthony R. Beech,et al.  A further investigation of cognitive inhibition in obsessive-compulsive disorder and other anxiety disorders , 1995 .

[22]  T. Gelder,et al.  What Might Cognition Be, If Not Computation? , 1995 .

[23]  R. Passingham.  Attention to action. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[24]  Michael J. Spivey,et al.  From apples and oranges to symbolic dynamics: a framework for conciliating notions of cognitive representation , 2005, J. Exp. Theor. Artif. Intell..

[25]  René Thom,et al.  Structural stability and morphogenesis , 1977, Pattern Recognit..

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

[27]  Randall D. Beer,et al.  Evolving Dynamical Neural Networks for Adaptive Behavior , 1992, Adapt. Behav..

[28]  S Dehaene,et al.  A neuronal model of a global workspace in effortful cognitive tasks. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Kristen L. Mackiewicz,et al.  Cognitive control mechanisms, emotion and memory: A neural perspective with implications for psychopathology , 2009, Neuroscience & Biobehavioral Reviews.

[30]  Noshir Contractor,et al.  Complexity: The emerging science at the edge of order and chaos: Journal of Communication , 1994 .

[31]  D. Lowe,et al.  Selective and divided Attention in a Stroop task. , 1982, Canadian journal of psychology.

[32]  M. Botvinick,et al.  Conflict monitoring and cognitive control. , 2001, Psychological review.

[33]  R. Engle,et al.  Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. , 2003, Journal of experimental psychology. General.

[34]  Y. Shoham.  Introduction to Multi-Agent Systems , 2002 .