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ThinkMind // International Journal On Advances in Intelligent Systems, volume 6, numbers 1 and 2, 2013 // View article intsys_v6_n12_2013_8
More on MCS Ontology for Cognition: Revising Selected Concepts, Including Cognition and Time, Considering Cognition Links with Philosophy and Implementing Automated Cognition in the Real World
 Authors:
Jean-Daniel Dessimoz
Pierre-François Gauthey Keywords: cognitive robotics; MCS ontology for cognition; cognitics; cognition; time; cognitive speed; discontinuity; reality; innate behavior; communication basics Abstract:
Designing advanced cognitive technologies and applications requires a formal ontology, such as the Model for Cognitive Sciences (MCS), the theoretical foundations now proposed for automated cognition, cognitics. Cognition has the ability to create and deliver pertinent information. Discussion is made in the current paper of a number of cognitive notions including those of reality, time and revisited “speed”, change and discontinuity, innate and learned behaviors, as well as the human-inspired basics of communication in a group. These newly defined notions conveniently complement the existing MCS ontology. Notions are delineated in conceptual frameworks and can moreover be made operational, deployed in the real world, for validation purpose and for the benefit of users. All these elements confirm the rightness of our current approaches in solving concrete Artificial Intelligence problems and this is illustrated below by some concrete examples taken in domestic context, including robots capable of learning. Cognition would not make much sense per se, and the paper also shows how it can be implemented in the real world, notably using our Piaget proprietary environment for development and programming of smart robotized systems. Experiments prove that the resulting smart systems can indeed successfully operate in the real-world, and in particular interact with humans, performing with large quantities of cognitive components: knowledge, expertise, learning, etc. The quantitative approach of MCS and the operationalization of its cognitive concepts in real-world systems allow as well for a fruitful dialogue about core issues in philosophy as an effective design and realization of smart systems for the benefit of humans. Pages: 89 to 101 Copyright: Copyright (c) to authors, 2013. Used with permission. Publication date: June 30, 2013 Published in: journal ISSN: 1942-2679
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