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Jan Treur - One of the best experts on this subject based on the ideXlab platform.
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Representation for reciprocal agent-environment interaction
Cognitive Systems Research, 2009Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporal-interactivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. Moreover, by mathematical proof it was shown how these specifications are entailed by the basic local properties.
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Collective Representational Content for shared extended mind
Cognitive Systems Research, 2006Co-Authors: Tibor Bosse, Catholijn M. Jonker, Martijn C. Schut, Jan TreurAbstract:Some types of species exploit the external environment to support their cognitive processes, in the sense of patterns created in the environment that function as external mental states and serve as an extension to their mind. In the case of social species the creation and exploitation of such patterns can be shared, thus obtaining a form of shared mind or collective intelligence. This paper explores this shared extended mind principle for social species in more detail. The focus is on the notion of Representational Content in such cases. Proposals are put forward and formalised to define collective Representational Content for such shared external mental states. Two case studies in domains in which shared extended mind plays an important role are used as illustration. The first case study addresses the domain of social ant behaviour. The second case study addresses the domain of human communication via the environment. For both cases simulations are described, representation relations are specified and are verified against the simulated traces.
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Representational Content and the Reciprocal Interplay of Agent and Environment
Declarative Agent Languages and Technologies II, 2005Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporal-interactivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. More-over, by mathematical proof it was shown how these specifications are entailed by the basic local properties. © Springer-Verlag Berlin Heidelberg 2005
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modelling shared extended mind and collective Representational Content
Bramer M.; Coenen F.; Allen T. (ed.) SGAI 2004: Research and Development in Intelligent Systems XXI: Proceedings of AI-2004 the Twenty-fourth SGAI Int, 2004Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan Treur, Martijn C. SchutAbstract:Some types of animals exploit the external environment to support their cognitive processes, in the sense of patterns created in the environment that function as external mental states and serve as an extension to their mind. In the case of social animals the creation and exploitation of such patterns can be shared, thus obtaining a form of shared mind or collective intelligence. This paper explores this shared extended mind principle for social animals in more detail. The focus is on the notion of Representational Content in such cases. Proposals are put forward and formalised to define collective Representational Content for such shared external mental states. A case study in social ant behaviour in which shared extended mind plays an important role is used as illustration. For this case simulations are described, representation relations are specified and are verified against the simulated traces.
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AAMAS - Representational Content and the Reciprocal Interplay of Agent and Environment
2004Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporalinteractivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. Moreover, by mathematical proof it was shown how these specifications are entailed by the basic local properties.
Tibor Bosse - One of the best experts on this subject based on the ideXlab platform.
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Representation for reciprocal agent-environment interaction
Cognitive Systems Research, 2009Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporal-interactivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. Moreover, by mathematical proof it was shown how these specifications are entailed by the basic local properties.
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Collective Representational Content for shared extended mind
Cognitive Systems Research, 2006Co-Authors: Tibor Bosse, Catholijn M. Jonker, Martijn C. Schut, Jan TreurAbstract:Some types of species exploit the external environment to support their cognitive processes, in the sense of patterns created in the environment that function as external mental states and serve as an extension to their mind. In the case of social species the creation and exploitation of such patterns can be shared, thus obtaining a form of shared mind or collective intelligence. This paper explores this shared extended mind principle for social species in more detail. The focus is on the notion of Representational Content in such cases. Proposals are put forward and formalised to define collective Representational Content for such shared external mental states. Two case studies in domains in which shared extended mind plays an important role are used as illustration. The first case study addresses the domain of social ant behaviour. The second case study addresses the domain of human communication via the environment. For both cases simulations are described, representation relations are specified and are verified against the simulated traces.
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Representational Content and the Reciprocal Interplay of Agent and Environment
Declarative Agent Languages and Technologies II, 2005Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporal-interactivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. More-over, by mathematical proof it was shown how these specifications are entailed by the basic local properties. © Springer-Verlag Berlin Heidelberg 2005
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modelling shared extended mind and collective Representational Content
Bramer M.; Coenen F.; Allen T. (ed.) SGAI 2004: Research and Development in Intelligent Systems XXI: Proceedings of AI-2004 the Twenty-fourth SGAI Int, 2004Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan Treur, Martijn C. SchutAbstract:Some types of animals exploit the external environment to support their cognitive processes, in the sense of patterns created in the environment that function as external mental states and serve as an extension to their mind. In the case of social animals the creation and exploitation of such patterns can be shared, thus obtaining a form of shared mind or collective intelligence. This paper explores this shared extended mind principle for social animals in more detail. The focus is on the notion of Representational Content in such cases. Proposals are put forward and formalised to define collective Representational Content for such shared external mental states. A case study in social ant behaviour in which shared extended mind plays an important role is used as illustration. For this case simulations are described, representation relations are specified and are verified against the simulated traces.
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AAMAS - Representational Content and the Reciprocal Interplay of Agent and Environment
2004Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporalinteractivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. Moreover, by mathematical proof it was shown how these specifications are entailed by the basic local properties.
René Jagnow - One of the best experts on this subject based on the ideXlab platform.
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Ambiguous figures and the spatial Contents of perceptual experience: a defense of Representationalism
Phenomenology and the Cognitive Sciences, 2011Co-Authors: René JagnowAbstract:Representationalists hold that the phenomenal character of a perceptual experience is identical with, or supervenes on, an aspect of its Representational Content. As such, Representationalism could be disproved by a counter-example consisting of two experiences that have the same Representational Content but differ in phenomenal character. In this paper, I discuss two recently proposed counter-examples to Representationalism that involve ambiguous or reversible figures. I pursue two goals. My first, and most important, goal is to show that the Representationalist can offer plausible responses to both counter-examples. My second goal is to show the implications of these responses for the nature of the spatial Representational Contents of perceptual experiences.
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Representationalism and the perspectival character of perceptual experience
Philosophical Studies, 2010Co-Authors: René JagnowAbstract:Perceptual experiences inform us about objective properties of things in our environment. But they also have perspectival character in the sense that they differ phenomenally when objects are viewed from different points of view. Contemporary Representationalists hold, at a minimum, that phenomenal character supervenes on Representational Content. Thus, in order to account for perspectival character, they need to indentify a type of Representational Content that changes in appropriate ways with the perceiver’s point of view. Many representationlists, including Shoemaker and Lycan, argue that such Contents are best construed in terms of mind-dependent properties. Other Representationalists, including Tye and Dretske, hold that these Contents involve only mind-independent properties. Susanna Schellenberg has recently developed an account of perceptual experience that would serve these latter Representationalists extremely well. She suggests that we can do justice to the perspectival character of perceptual experience by appeal to representations of a certain type of relational properties, so-called ‘situation-dependent properties.’ In this paper, I critically engage with Schellenberg’s proposal in order to show how mind-independent Representationalists can explain perspectival character. I argue that appeal to situation-dependent properties is problematic. I then show that mind-independent Representationalists can account for perspectical character by means of scenario Contents in Christopher Peacocke’s sense.
Catholijn M. Jonker - One of the best experts on this subject based on the ideXlab platform.
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Representation for reciprocal agent-environment interaction
Cognitive Systems Research, 2009Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporal-interactivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. Moreover, by mathematical proof it was shown how these specifications are entailed by the basic local properties.
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Collective Representational Content for shared extended mind
Cognitive Systems Research, 2006Co-Authors: Tibor Bosse, Catholijn M. Jonker, Martijn C. Schut, Jan TreurAbstract:Some types of species exploit the external environment to support their cognitive processes, in the sense of patterns created in the environment that function as external mental states and serve as an extension to their mind. In the case of social species the creation and exploitation of such patterns can be shared, thus obtaining a form of shared mind or collective intelligence. This paper explores this shared extended mind principle for social species in more detail. The focus is on the notion of Representational Content in such cases. Proposals are put forward and formalised to define collective Representational Content for such shared external mental states. Two case studies in domains in which shared extended mind plays an important role are used as illustration. The first case study addresses the domain of social ant behaviour. The second case study addresses the domain of human communication via the environment. For both cases simulations are described, representation relations are specified and are verified against the simulated traces.
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Representational Content and the Reciprocal Interplay of Agent and Environment
Declarative Agent Languages and Technologies II, 2005Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporal-interactivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. More-over, by mathematical proof it was shown how these specifications are entailed by the basic local properties. © Springer-Verlag Berlin Heidelberg 2005
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modelling shared extended mind and collective Representational Content
Bramer M.; Coenen F.; Allen T. (ed.) SGAI 2004: Research and Development in Intelligent Systems XXI: Proceedings of AI-2004 the Twenty-fourth SGAI Int, 2004Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan Treur, Martijn C. SchutAbstract:Some types of animals exploit the external environment to support their cognitive processes, in the sense of patterns created in the environment that function as external mental states and serve as an extension to their mind. In the case of social animals the creation and exploitation of such patterns can be shared, thus obtaining a form of shared mind or collective intelligence. This paper explores this shared extended mind principle for social animals in more detail. The focus is on the notion of Representational Content in such cases. Proposals are put forward and formalised to define collective Representational Content for such shared external mental states. A case study in social ant behaviour in which shared extended mind plays an important role is used as illustration. For this case simulations are described, representation relations are specified and are verified against the simulated traces.
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AAMAS - Representational Content and the Reciprocal Interplay of Agent and Environment
2004Co-Authors: Tibor Bosse, Catholijn M. Jonker, Jan TreurAbstract:Declarative modelling approaches in principle assume a notion of representation or Representational Content for the modelling concepts. The notion of Representational Content as discussed in literature in cognitive science and philosophy of mind shows complications as soon as agent and environment have an intense reciprocal interaction. In such cases an internal agent state is affected by the way in which internal and external aspects are interwoven during (ongoing) interaction. In this paper it is shown that the classical correlational approach to Representational Content is not applicable, but the temporalinteractivist approach is. As this approach involves more complex temporal relationships, formalisation was used to define specifications of the Representational Content more precisely. These specifications have been validated by automatically checking them on traces generated by a simulation model. Moreover, by mathematical proof it was shown how these specifications are entailed by the basic local properties.
Avniel Singh Ghuman - One of the best experts on this subject based on the ideXlab platform.
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multi connection pattern analysis decoding the Representational Content of neural communication
NeuroImage, 2017Co-Authors: Avniel Singh Ghuman, Yuanning Li, Robert M RichardsonAbstract:Abstract The lack of multivariate methods for decoding the Representational Content of interregional neural communication has left it difficult to know what information is represented in distributed brain circuit interactions. Here we present Multi-Connection Pattern Analysis (MCPA), which works by learning mappings between the activity patterns of the populations as a factor of the information being processed. These maps are used to predict the activity from one neural population based on the activity from the other population. Successful MCPA-based decoding indicates the involvement of distributed computational processing and provides a framework for probing the Representational structure of the interaction. Simulations demonstrate the efficacy of MCPA in realistic circumstances. In addition, we demonstrate that MCPA can be applied to different signal modalities to evaluate a variety of hypothesis associated with information coding in neural communications. We apply MCPA to fMRI and human intracranial electrophysiological data to provide a proof-of-concept of the utility of this method for decoding individual natural images and faces in functional connectivity data. We further use a MCPA-based Representational similarity analysis to illustrate how MCPA may be used to test computational models of information transfer among regions of the visual processing stream. Thus, MCPA can be used to assess the information represented in the coupled activity of interacting neural circuits and probe the underlying principles of information transformation between regions.
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Multi-Connection Pattern Analysis: Decoding the Representational Content of Neural Communication
2016Co-Authors: Avniel Singh GhumanAbstract:What information is represented in the interactions between neural populations is unknown due to the lack of multivariate methods for decoding the Representational Content of neural communication. Here we present Multi-Connection Pattern Analysis (MCPA), which probes the involvement of distributed computational processing and probe the Representational structure of neural interactions. MCPA learns mappings between the activity patterns as a factor of the information being processed. These maps are used to predict the multivariate activity pattern from one neural population based on the activity pattern from another population. Simulations demonstrate the efficacy of MCPA in realistic circumstances. Applying MCPA to fMRI data shows that interactions between visual cortex regions are sensitive to information that distinguishes individual natural images. These results suggest that image individuation occurs through interactive computation across the visual processing network. Thus, MCPA can be used to assess the information processed in the coupled activity of interacting neural circuits.