Optimality: From Neural Networks to Universal Grammar
By A. Prince, Paul Smolensky. 1997
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- Deep Learning: Methods and Applications (2014, background): “, they can potentially perform powerful reasoning over structures, as argued in various historical publications as well as recent essays [38, 156, 286, 288, 292, 336, 335].”
- A free energy principle for the brain. (2006, background): “A Lyapunov function is a scalar function of a systems state that decreases with time; it is also referred to colloquially as a Harmony function in the neural network literature (Prince and Smolensky, 1997).”
- Principles of Synthetic Intelligence: Psi: An Architecture of Motivated Cognition (2009, background): “The latter have been extended into the ICS architecture (Smolensky & Legendre, 2005), which is based on Optimality Theory and Harmonic Grammars (Prince & Smolensky, 1991, 1997, 2004).”
- Three Exemplars Allow at Least Some Linguistic Generalizations: Implications for Generalization Mechanisms and Constraints (2008, unknown): “…concerns structural principles for assigning stress to syllables in multisyllabic words, and it is central to a discussion of linguistic generalization (Demuth, 1996; Dresher, 1999; Dresher & Kaye, 1990; Gupta & Touretzky, 1994; Hayes, 1994; Prince & Smolensky, 1997; Tesar & Smolensky, 1998).”
- The concept of entrainment and its significance for ethnomusicology (2004, background): “The principles provide a set of innate constraints that define the set of possible human languages (Prince & Smolensky, 1997).”
- What Is Optimality Theory? (2007, background): “Other overviews of this topic, in approximate order of increasing length and depth of coverage, include Archangeli (1997), Tesar, Grimshaw, and Prince (1999), Kager (1999: 1–51), Prince and Smolensky (1997; 2003), McCarthy (2002: 3–47; 2003a), and Smolensky, Legendre, and Tesar (2006).”
- Moral competence in social robots (2014, unknown): “[36]).”
- Weighted Constraints in Generative Linguistics (2009, methodology): “It then goes on to elaborate on the J. Pater ⁄Cognitive Science 33 (2009) 1001 equivalence between the two theories when trade-offs are symmetric, using an example that Prince and Smolensky (1997) in fact present as an illustration of the special properties of OT’s ranked constraints.”