A COGNITIVE MODEL OF AUTOMATISMS AND BREAKDOWNS

GOAL-ORIENTED Before being someone who plans, man is someone who acts. Because planning often intervenes in case of uncertainty or failures in activity, the planning process must be understood as an intermediary intermittent contribution to the success of actions unfolding. An important part of man behaviour does not need any symbolic mental representation beyond the "just-perceived-environment" with which man interacts. Breakdowns are cognitive occurrences due to sudden ruptures in sensory-motor automatisms that are usually adapted to a situation. They COD3titute a preliminary way to understand in what circumstances an actor is really engaged in symbolic problem solving. This symbolic thinking however is entirely dependent on the breakdown context. In the cognitive model proposed in this paper, what happens before a breakdown is based on a PDP matching with automatic scripts followed by a procedural execution of the selected automatic script. Concerning the PDP developments, a simple model grounded in a multi-layer architecture architecture and capable of bottom-up and to)HJown inferences will replicate the deductive and inductive mechanisms of recognition processes. Concerning the execution of the automatic scripts, we will try to justify why a hierarchical goal-oriented structure is still needed. The major part of this paper discusses the simulation of six types of breakdowns and analyses the motivations for such an enterprise both from a cognitive and an AI perspective.

[1]  David Chapman,et al.  Pengi: An Implementation of a Theory of Activity , 1987, AAAI.

[2]  Tim Smithers,et al.  Symbol grounding via a hybrid architecture in an autonomous assembly system , 1990, Robotics Auton. Syst..

[3]  Pattie Maes,et al.  Designing autonomous agents: Theory and practice from biology to engineering and back , 1990, Robotics Auton. Syst..

[4]  John McCarthy,et al.  SOME PHILOSOPHICAL PROBLEMS FROM THE STANDPOINT OF ARTI CIAL INTELLIGENCE , 1987 .

[5]  Derek Partridge,et al.  Surprisingness and Expectation Failure: What's the Difference? , 1987, IJCAI.

[6]  Andy Clark Connectionism and the multiplicity of mind , 2004, Artificial Intelligence Review.

[7]  Daniel C. Dennett,et al.  Cognitive Wheels: The Frame Problem of AI , 1990, The Philosophy of Artificial Intelligence.

[8]  James A. Hendler Marker-Passing and Microfeatures , 1987, IJCAI.

[9]  Michael P. Georgeff,et al.  Decision-Making in an Embedded Reasoning System , 1989, IJCAI.

[10]  Philip E. Agre,et al.  ABSTRACT REASONING AS EMERGENT FROM CONCRETE ACTIVITY , 1987 .

[11]  Tom M. Mitchell,et al.  Becoming Increasingly Reactive , 1990, AAAI.

[12]  M. Minsky The Society of Mind , 1986 .

[13]  S. Grossberg Neural Networks and Natural Intelligence , 1988 .

[14]  Pattie Maes,et al.  The Dynamics of Action Selection , 1989, IJCAI.

[15]  R. James Firby,et al.  An Investigation into Reactive Planning in Complex Domains , 1987, AAAI.

[16]  Lucy Suchman Plans and situated actions: the problem of human-machine communication , 1987 .

[17]  Marcel Schoppers,et al.  Universal Plans for Reactive Robots in Unpredictable Environments , 1987, IJCAI.

[18]  Hubert L. Dreyfus,et al.  What computers still can't do - a critique of artificial reason , 1992 .

[19]  Terry Winograd,et al.  Understanding computers and cognition - a new foundation for design , 1987 .

[20]  John R. Searle,et al.  The Intentionality of Intention and Action , 1980, Cogn. Sci..

[21]  Kunihiko Fukushima,et al.  A neural network for visual pattern recognition , 1988, Computer.

[22]  Jeff Coulter,et al.  Mind in Action , 1989 .

[23]  David E. Wilkins,et al.  Recovering from execution errors in SIPE , 1985, Comput. Intell..

[24]  Leslie Pack Kaelbling,et al.  An Architecture for Intelligent Reactive Systems , 1987 .

[25]  Kristian J. Hammond,et al.  Integrating Planning and Acting in a Case-Based Framework , 1990, AAAI.

[26]  John R. Anderson The Architecture of Cognition , 1983 .

[27]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[28]  Paul Smolensky,et al.  Information processing in dynamical systems: foundations of harmony theory , 1986 .