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Matthias Scheutz [21]Matthias J. Scheutz [1]
  1. Bennett I. Bertenthal & Matthias Scheutz (2013). In Praise of a Model but Not Its Conclusions: Commentary on Cooper, Catmur, and Heyes (2012). Cognitive Science 37 (4):631-641.
    Cooper et al. (this issue) develop an interactive activation model of spatial and imitative compatibilities that simulates the key results from Catmur and Heyes (2011) and thus conclude that both compatibilities are mediated by the same processes since their single model can predict all the results. Although the model is impressive, the conclusions are premature because they are based on an incomplete review of the relevant literature and because the model includes some questionable assumptions. Moreover, a competing model (Scheutz & (...)
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  2. Robert Rose, Matthias Scheutz & Paul Schermerhorn (2010). Towards a Conceptual and Methodological Framework for Determining Robot Believability. Interaction Studies 11 (2):314-335.
    Making interactions between humans and artificial agents successful is a major goal of interaction design. The aim of this paper is to provide researchers conducting interaction studies a new framework for the evaluation of robot believability. By critically examining the ordinary sense of believability, we first argue that currently available notions of it are underspecified for rigorous application in an experimental setting. We then define four concepts that capture different senses of believability, each of which connects directly to an empirical (...)
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  3. Ty W. Boyer, Matthias Scheutz & Bennett I. Bertenthal (2009). Dissociating Ideomotor and Spatial Compatibility: Empirical Evidence and Connectionist Models. In. In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. 2280--2285.
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  4. Matthias Scheutz (2004). “Causation” is Only Part of the Answer. Behavioral and Brain Sciences 27 (5):634-635.
    Although Ross & Spurrett (R&S) successfully fend off the threat of Kim's “supervenience argument” by showing that it conflates different notions of causation, their proposal for a dynamic systems answer to the mind-body problem is itself yet another supervenience claim in need of an explanation that justifies it. The same goes for their notion of “multiple supervenience.”.
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  5. Matthias J. Scheutz & Kathleen M. Eberhard (2004). Effects of Morphosyntactic Gender Features in Bilingual Language Processing*,*. Cognitive Science 28 (4):559-588.
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  6. Ron Chrisley, Aaron Sloman, Matthias Scheutz & Nick Hawes (2002). How Velmans' Conscious Experiences Affected Our Brains. Journal of Consciousness Studies 9 (11):58-62.
    Velmans’ paper raises three problems concerning mental causation: (1) How can consciousness affect the physical, given that the physical world appears causally closed? 10 (2) How can one be in conscious control of processes of which one is not consciously aware? (3) Conscious experiences appear to come too late to causally affect the processes to which they most obviously relate. In an appendix Velmans gives his reasons for refusing to resolve these problems through adopting the position (which he labels ‘physicalism’) (...)
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  7. Matthias Scheutz (ed.) (2002). Computationalism: New Directions. MIT Press.
    A new computationalist view of the mind that takes into account real-world issues of embodiment, interaction, physical implementation, and semantics.
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  8. Matthias Scheutz (2002). Computationalism: The Next Generation. In , Computationalism: New Directions. MIT Press. 517-524.
  9. Matthias Scheutz (2002). New Computationalism. Conceptus Studien 14.
  10. Matthias Scheutz (2002). Philosophical Issues About Computation. In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan.
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  11. Matthias Scheutz (2001). Computational Vs. Causal Complexity. Minds and Machines 11 (4):543-566.
    The main claim of this paper is that notions of implementation based on an isomorphic correspondence between physical and computational states are not tenable. Rather, ``implementation'' has to be based on the notion of ``bisimulation'' in order to be able to block unwanted implementation results and incorporate intuitions from computational practice. A formal definition of implementation is suggested, which satisfies theoretical and practical requirements and may also be used to make the functionalist notion of ``physical realization'' precise. The upshot of (...)
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  12. Matthias Scheutz (2001). Causal Vs. Computational Complexity? Minds and Machines 11:534-566.
  13. Matthias Scheutz (2001). Ethology and Functionalism: Behavioral Descriptions as the Link Between Physical and Functional Descriptions. Evolution and Cognition 7 (2):164-171.
  14. Matthias Scheutz (2001). Is There More to “Model” Than “Muddle”? Behavioral and Brain Sciences 24 (6):1076-1077.
    Any discussion comparing different models with respect to their quality qua models must presuppose a notion of model, that is, what it is to be a model. While Webb provides seven criteria to assess the quality of various proposed biorobotic models, she does not clarify the very notion of “model of animal behavior” itself.
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  15. Matthias Scheutz & Markus F. Peschl (2001). Explicating the Epistemological Role of Simulation in the Development of Theories of Cognition. In Proceedings of the 7th International Colloquium on Cognitive.
     
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  16. Matthias Scheutz & Markus F. Peschl (2001). Proceedings of the Sixth Congress of the Austrian Philosophical Society.
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  17. Matthias Scheutz & Markus F. Peschl (2001). Proceedings of the 7th International Colloquium on Cognitive.
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  18. Matthias Scheutz & Markus F. Peschl (2001). Some Thoughts on Computation and Simulation in Cognitive Science. In Proceedings of the Sixth Congress of the Austrian Philosophical Society.
  19. Matthias Scheutz (2000). The Cognitive Computational Story. Conceptus Studien 14:136-152.
  20. Matthias Scheutz (1999). The Ontological Status of Representations. In Alexander Riegler, Markus F. Peschl & A. von Stein (eds.), Understanding Representation in the Cognitive Sciences. Kluwer.
     
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  21. Matthias Scheutz (1999). When Physical Systems Realize Functions. Minds and Machines 9 (2):161-196.
    After briefly discussing the relevance of the notions computation and implementation for cognitive science, I summarize some of the problems that have been found in their most common interpretations. In particular, I argue that standard notions of computation together with a state-to-state correspondence view of implementation cannot overcome difficulties posed by Putnam's Realization Theorem and that, therefore, a different approach to implementation is required. The notion realization of a function, developed out of physical theories, is then introduced as a replacement (...)
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  22. Matthias Scheutz (1998). Implementation: Computationalism's Weak Spot. Conceptus JG 31 (79):229-239.
     
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