Mental models for cognitive control

Malte Schilling; Holk Cruse; Josef Schmitz

doi:10.1117/12.721968

22 May 2007 Mental models for cognitive control

Malte Schilling, Holk Cruse, Josef Schmitz

Proceedings Volume 6592, Bioengineered and Bioinspired Systems III; 659208 (2007) https://doi.org/10.1117/12.721968
Event: Microtechnologies for the New Millennium, 2007, Maspalomas, Gran Canaria, Spain

Abstract

Even so called "simple" organisms as insects are able to fastly adapt to changing conditions of their environment. Their behaviour is affected by many external influences and only its variability and adaptivity permits their survival. An intensively studied example concerns hexapod walking.^1,2 Complex walking behaviours in stick insects have been analysed and the results were used to construct a reactive model that controls walking in a robot. This model is now extended by higher levels of control: as a bottom-up approach the low-level reactive behaviours are modulated and activated through a medium level. In addition, the system grows up to an upper level for cognitive control of the robot: Cognition - as the ability to plan ahead - and cognitive skills involve internal representations of the subject itself and its environment. These representations are used for mental simulations: In difficult situations, for which neither motor primitives, nor whole sequences of these exist, available behaviours are varied and applied in the internal model while the body itself is decoupled from the controlling modules. The result of the internal simulation is evaluated. Successful actions are learned and applied to the robot. This constitutes a level for planning. Its elements (movements, behaviours) are embodied in the lower levels, whereby their meaning arises directly from these levels. The motor primitives are situation models represented as neural networks. The focus of this work concerns the general architecture of the framework as well as the reactive basic layer of the bottom-up architecture and its connection to higher level functions and its application on an internal model.

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Malte Schilling, Holk Cruse, and Josef Schmitz "Mental models for cognitive control", Proc. SPIE 6592, Bioengineered and Bioinspired Systems III, 659208 (22 May 2007); https://doi.org/10.1117/12.721968

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KEYWORDS

Sensors

Cognitive modeling

Modulation

Systems modeling

Animal model studies

Cognition

Artificial intelligence

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