Introduction to the 2005 rumelhart prize special issue honoring paul smolensky.

@article{Smolensky2006IntroductionTT,
  title={Introduction to the 2005 rumelhart prize special issue honoring paul smolensky.},
  author={Honoring Paul Smolensky},
  journal={Cognitive science},
  year={2006},
  volume={30 5},
  pages={
          775-7
        }
}
This special issue honors the research contributions of Dr. Paul Smolensky, recipient of the 2005 David E. Rumelhart Prize. This prize was instituted in 2001, funded by the Robert J. Glushko and Pamela Samuelson Foundation. The prize is awarded annually to an individual or collaborative team making a significant contemporary contribution to the formal analysis of human cognition. Mathematical modeling of human cognitive processes, formal analysis of language and other products of human… 

References

SHOWING 1-9 OF 9 REFERENCES
Information processing in dynamical systems: foundations of harmony theory
TLDR
The work reported in this chapter rests on the conviction that a methodology that has a crucial role to play in the development of cognitive science is mathematical analysis.
On the proper treatment of connectionism
Abstract A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive
Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models
  • G. Kane
  • Computer Science, History
  • 1994
TLDR
Artificial neural network research began in the early 1940s, advancing in fits and starts, until the late 1960s when Minsky and Papert published Perceptrons, in which they proved that neural networks, as then conceived, can be proved.
Neural and Conceptual Interpretations of Parallel Distributed Processing Models
TLDR
This chapter begins with a brief consideration of the neural interpretation of PDP models of cognition, and ends with a discussion of how, using the framework of P DP models, the authors might forge a mathematical relationship between the principles of mind and brain.
Optimality: From Neural Networks to Universal Grammar
TLDR
The proposition that grammaticality equals optimality sheds light on a wide range of phenomena, from the gulf between production and comprehension in child language, to language learnability, to the fundamental questions of linguistic theory.
Tensor Product Variable Binding and the Representation of Symbolic Structures in Connectionist Systems
TLDR
This chapter contains sections titled connectionist Representation and Tensor Product Binding: Definition and Examples, and tensor Product Representation: Properties.
Schemata and sequential thought processes in parallel distributed processing
  • Psychological and biological models (pp. 7–57)
  • 1986
Schemata and sequential thought processes in parallel distributed processing Parallel distributed processing: Explorations in the microstructure of cognition
  • Psychological and biological models
  • 1986