The Experts below are selected from a list of 4284 Experts worldwide ranked by ideXlab platform
Matthias Scheutz - One of the best experts on this subject based on the ideXlab platform.
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A Logic-Based Computational Framework for Inferring Cognitive Affordances
IEEE Transactions on Cognitive and Developmental Systems, 2018Co-Authors: Vasanth Sarathy, Matthias ScheutzAbstract:The concept of “affordance” refers to the relationship between human perceivers and aspects of their environment. Being able to infer Affordances is central to commonsense reasoning, tool use and creative problem solving in artificial agents. Existing approaches to inferring Affordances have focused on functional aspects, relying on either static ontologies or statistical formalisms to extract relationships between physical features of objects, actions, and the corresponding effects of their interaction. These approaches do not provide flexibility with which to reason about Affordances in the open world, where Affordances are influenced by changing context, social norms, historical precedence, and uncertainty. We develop a computational framework comprising a probabilistic rules-based logical representation coupled with a computational architecture (Cognitive Affordances logically expressed) to reason about Affordances in a more general manner than described in the existing literature. Our computational architecture allows robotic agents to make deductive and abductive inferences about functional and social Affordances, collectively and dynamically, thereby allowing the agent to adapt to changing conditions. We demonstrate our approach with experiments, and show that an agent can successfully reason through situations that involve a tight interplay between various social and functional norms.
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beyond grasping perceiving Affordances across various stages of Cognitive development
Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016Co-Authors: Vasanth Sarathy, Matthias ScheutzAbstract:The concept of “affordance” has typically represented the relationship between human perceivers and their environment. Affordance perception, representation, and inference are central to commonsense reasoning, tool-use and creative problem-solving in artificial agents. Existing approaches to representing Affordances have focused on its physical aspects, relying on either static ontologies or statistical formalisms to extract relationships between physical features of objects, actions and the corresponding effects of their interaction. These approaches fail to provide flexibility with which to reason about Affordances through various developmental stages, where they are more influenced by changing context, social norms, historical precedence, and uncertainty. We develop a formal rules-based logical representational format coupled with an uncertainty-processing framework to reason about Cognitive Affordances in a more general manner than shown in the existing literature. Our framework, which is retained through Cognitive development, allows agents to make deductive and abductive inferences about functional and social Affordances. We demonstrate our approach with an example, and show that an agent can successfully reason through situations that involve a tight interplay between various social and functional norms.
Stephan Barthel - One of the best experts on this subject based on the ideXlab platform.
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Cognitive Affordances in sustainable urbanism: contributions of space syntax and spatial cognition
Journal of Urban Design, 2016Co-Authors: Lars Marcus, Matteo Giusti, Stephan BarthelAbstract:Post-industrial societies impose new ecological challenges on urbanism. However, it is argued here that most approaches to sustainable urbanism still share the conception of the humans-environment relations that characterized modernism. The paper finds support in recent knowledge developments in social-ecological sustainability, spatial analysis and Cognitive science to initiate a dialogue for an alternative framework. Urban form engages humans not only through physical activities, but also mentally through opportunities for learning and creation of meaning, thereby both reinforcing and impeding behaviours on a Cognitive level. Against this background, it is proposed that what in cognition studies is termed ‘Cognitive Affordances’ could form the core of a new epistemological framework of the human-environment relation in sustainable urbanism.
Vasanth Sarathy - One of the best experts on this subject based on the ideXlab platform.
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A Logic-Based Computational Framework for Inferring Cognitive Affordances
IEEE Transactions on Cognitive and Developmental Systems, 2018Co-Authors: Vasanth Sarathy, Matthias ScheutzAbstract:The concept of “affordance” refers to the relationship between human perceivers and aspects of their environment. Being able to infer Affordances is central to commonsense reasoning, tool use and creative problem solving in artificial agents. Existing approaches to inferring Affordances have focused on functional aspects, relying on either static ontologies or statistical formalisms to extract relationships between physical features of objects, actions, and the corresponding effects of their interaction. These approaches do not provide flexibility with which to reason about Affordances in the open world, where Affordances are influenced by changing context, social norms, historical precedence, and uncertainty. We develop a computational framework comprising a probabilistic rules-based logical representation coupled with a computational architecture (Cognitive Affordances logically expressed) to reason about Affordances in a more general manner than described in the existing literature. Our computational architecture allows robotic agents to make deductive and abductive inferences about functional and social Affordances, collectively and dynamically, thereby allowing the agent to adapt to changing conditions. We demonstrate our approach with experiments, and show that an agent can successfully reason through situations that involve a tight interplay between various social and functional norms.
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beyond grasping perceiving Affordances across various stages of Cognitive development
Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016Co-Authors: Vasanth Sarathy, Matthias ScheutzAbstract:The concept of “affordance” has typically represented the relationship between human perceivers and their environment. Affordance perception, representation, and inference are central to commonsense reasoning, tool-use and creative problem-solving in artificial agents. Existing approaches to representing Affordances have focused on its physical aspects, relying on either static ontologies or statistical formalisms to extract relationships between physical features of objects, actions and the corresponding effects of their interaction. These approaches fail to provide flexibility with which to reason about Affordances through various developmental stages, where they are more influenced by changing context, social norms, historical precedence, and uncertainty. We develop a formal rules-based logical representational format coupled with an uncertainty-processing framework to reason about Cognitive Affordances in a more general manner than shown in the existing literature. Our framework, which is retained through Cognitive development, allows agents to make deductive and abductive inferences about functional and social Affordances. We demonstrate our approach with an example, and show that an agent can successfully reason through situations that involve a tight interplay between various social and functional norms.
Lars Marcus - One of the best experts on this subject based on the ideXlab platform.
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Cognitive Affordances in sustainable urbanism: contributions of space syntax and spatial cognition
Journal of Urban Design, 2016Co-Authors: Lars Marcus, Matteo Giusti, Stephan BarthelAbstract:Post-industrial societies impose new ecological challenges on urbanism. However, it is argued here that most approaches to sustainable urbanism still share the conception of the humans-environment relations that characterized modernism. The paper finds support in recent knowledge developments in social-ecological sustainability, spatial analysis and Cognitive science to initiate a dialogue for an alternative framework. Urban form engages humans not only through physical activities, but also mentally through opportunities for learning and creation of meaning, thereby both reinforcing and impeding behaviours on a Cognitive level. Against this background, it is proposed that what in cognition studies is termed ‘Cognitive Affordances’ could form the core of a new epistemological framework of the human-environment relation in sustainable urbanism.
Matteo Giusti - One of the best experts on this subject based on the ideXlab platform.
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Cognitive Affordances in sustainable urbanism: contributions of space syntax and spatial cognition
Journal of Urban Design, 2016Co-Authors: Lars Marcus, Matteo Giusti, Stephan BarthelAbstract:Post-industrial societies impose new ecological challenges on urbanism. However, it is argued here that most approaches to sustainable urbanism still share the conception of the humans-environment relations that characterized modernism. The paper finds support in recent knowledge developments in social-ecological sustainability, spatial analysis and Cognitive science to initiate a dialogue for an alternative framework. Urban form engages humans not only through physical activities, but also mentally through opportunities for learning and creation of meaning, thereby both reinforcing and impeding behaviours on a Cognitive level. Against this background, it is proposed that what in cognition studies is termed ‘Cognitive Affordances’ could form the core of a new epistemological framework of the human-environment relation in sustainable urbanism.