CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Intelligence without representation
Artificial Intelligence
What computers still can't do: a critique of artificial reason
What computers still can't do: a critique of artificial reason
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Computational principles of mobile robotics
Computational principles of mobile robotics
Language Games for Autonomous Robots
IEEE Intelligent Systems
Dynamic Symbol Grounding, State Construction and the Problem of Teleology
IWANN '96 Proceedings of the International Workshop on Artificial Neural Networks: From Natural to Artificial Neural Computation
Anchoring Symbols to Sensor Data: Preliminary Report
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
On the Logic of Theory Base Change
JELIA '94 Proceedings of the European Workshop on Logics in Artificial Intelligence
Contentful mental states for robot baby
Eighteenth national conference on Artificial intelligence
Symbol grounding and its implications for artificial intelligence
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Semiotic schemas: A framework for grounding language in action and perception
Artificial Intelligence - Special volume on connecting language to the world
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Cognitive Systems Research
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Sensorimotor domain approach for artificial autonomous cognitive development
SBIA'12 Proceedings of the 21st Brazilian conference on Advances in Artificial Intelligence
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In order for an agent to achieve its objectives, make sound decisions, communicate and collaborate with others effectively it must have high quality representations. Representations can encapsulate objects, situations, experiences, decisions and behavior just to name a few. Our interest is in designing high quality representations, therefore it makes sense to ask of any representation; what does it represent; why is it represented; how is it represented; and importantly how well is it represented. This paper identifies the need to develop a better understanding of the grounding process as key to answering these important questions. The lack of a comprehensive understanding of grounding is a major obstacle in the quest to develop genuinely intelligent systems that can make their own representations as they seek to achieve their objectives. We develop an innovative framework which provides a powerful tool for describing, dissecting and inspecting grounding capabilities with the necessary flexibility to conduct meaningful and insightful analysis and evaluation. The framework is based on a set of clearly articulated principles and has three main applications. First, it can be used at both theoretical and practical levels to analyze grounding capabilities of a single system and to evaluate its performance. Second, it can be used to conduct comparative analysis and evaluation of grounding capabilities across a set of systems. Third, it offers a practical guide to assist the design and construction of high performance systems with effective grounding capabilities.