Michael R. W. Dawson

Orcid: 0000-0002-9152-199X

According to our database1, Michael R. W. Dawson authored at least 15 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
How Do Artificial Neural Networks Classify Musical Triads? A Case Study in Eluding Bonini's Paradox.
Cogn. Sci., January, 2023

2012
Equilibria of Perceptrons for Simple Contingency Problems.
IEEE Trans. Neural Networks Learn. Syst., 2012

2009
Simple Artificial Neural Networks That Match Probability and Exploit and Explore When Confronting a Multiarmed Bandit.
IEEE Trans. Neural Networks, 2009

2008
Artificial Neural Networks that Classify Musical Chords.
Int. J. Cogn. Informatics Nat. Intell., 2008

2007
Representing an Intrinsically Nonmetric Space of Compass Directions in an Artificial Neural Network.
Int. J. Cogn. Informatics Nat. Intell., 2007

2005
An Artificial Neural Network That Uses Coarse Allocentric Coding of Direction to Represent Distances Between Locations in a Metric Space.
Spatial Cogn. Comput., 2005

The effects of spatial layout on relationships between performance, path patterns and mental representation in a hypermedia information search task.
Interact. Technol. Smart Educ., 2005

Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor Thirds.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2002
From Embodied Cognitive Science To Synthetic Psychology.
Proceedings of the 1st IEEE International Conference on Cognitive Informatics (ICCI 2002), 2002

2001
On the Subsymbolic Nature of a PDP Architecture that Uses a Nonmonotonic Activation Function.
Minds Mach., 2001

A parallel distributed processing model of Wason's selection task.
Cogn. Syst. Res., 2001

2000
Representing space in a PDP network: Coarse allocentric coding can mediate metric and nonmetric spatial judgements.
Spatial Cogn. Comput., 2000

Using Extra Output Learning to Insert a Symbolic Theory into a Connectionist Network.
Minds Mach., 2000

1999
When local isn't enough: extracting distributed rules from networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Internal representation in networks of nonmonotonic processing units.
Proceedings of the International Joint Conference Neural Networks, 1999


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