Older Research

Contents

These are some projects I’m not actively working on at this time

Alphabetic Letter Similarity

Image of letter stimuli

This project investigates the visual representation of letter stimuli, and collects a number of data sets which have reported the visual similarity of the English alphabet, using a number of different methods. These are available in the Letter Similarity Data Set Archive.

Shane T Mueller, Christoph T Weidemann: Alphabetic letter identification: Effects of perceivability, similarity, and bias. In: Acta psychologica, 139 (1), pp. 19–37, 2012.

The Cognitive Decathlon: A modern embodied Turing Test

For DARPA’s BICA (Biologically-Inspired Cognitive Architecture) program, I developed what we called the “Cognitive Decathlon”, a set of select behavioral measures that would have been used to assess the capability and validity of the artificially-intelligent agents being developed for that program. I have argued1

Shane T Mueller, Brandon S Minnery: Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired cognitive agents.. In: AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, pp. 117–126, 2008.
2
Shane T Mueller: Is the Turing Test still relevant? A plan for developing the cognitive decathlon to test intelligent embodied behavior. In: 19th Midwest artificial intelligence and cognitive science conference, MAICS, pp. 3, 2008.
that the Cognitive Decathlon was a form of the Turing test which was intended to measure the embodied intelligence of these agents. Parts of the Decathlon have been implemented using PEBL3[tpsingle id=”308″. Subsequently, I have helped organize several symposia related to the BICA concept. Image on the right depicts a high-level organization of the tasks in the Cognitive Decathlon. This work was featured on Wired’s Danger Room Column, (apparently) the Russian Popular Mechanics, and Wikipedia.

Mueller, Shane T

A partial implementation of the Bica cognitive decathlon using the psychology experiment building language Journal Article

In: International Journal of Machine Consciousness, 2 , pp. 273-288, 2010.

BibTeX

Samsonovich, Alexei V; Mueller, Shane T

Preface: Toward a Growing Computational Replica of the Human Mind. Inproceedings

In: AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, pp. 1–3, 2008.

BibTeX

Mueller, Shane T; Minnery, Brandon S

Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired cognitive agents. Inproceedings

In: AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, pp. 117–126, 2008.

BibTeX

Mueller, Shane T

Is the Turing Test still relevant? A plan for developing the cognitive decathlon to test intelligent embodied behavior Inproceedings

In: 19th Midwest artificial intelligence and cognitive science conference, MAICS, pp. 3, 2008.

BibTeX

Samsonovich, Alexei V; Mueller, Shane T

Toward a growing computational replica of the human mind Inproceedings

In: Biologically inspired cognitive architectures: Papers from the AAAI Fall Symposium, pp. 1–3, 2008.

BibTeX

Mueller, Shane T; Jones, Matt; Minnery, Brandon S; Hiland, Julia MH

The BICA cognitive decathlon: a test suite for biologically-inspired cognitive agents Inproceedings

In: Proceedings of behavior representation in modeling and simulation conference, Norfolk, pp. 3, 2007.

BibTeX

Non-word generator software

This code, written in C, creates nonsense words based on orthographic transitions in a language corpus, based on Shannon’s method. link

The GAC 80K Corpus

By around 2005, the Mindpixel project had collected thousands of statements and measured human assessments of their correctness, as part of the GAC project. They had the goal of identifying millions of statements, but the project ended when its leader Chris McKinstry died. I had nothing to do with the project, but I did obtain the GAC 80K corpus–what was supposedly an early release of about 80,000 statements. I used this in some models of human conceptual representations. The corpus is no longer easily accessible, so I have posted it here.

Tree Distance Measures

In R, a common method for clustering is using the ‘sisters’ hierarchical clustering methods (agnes, diana, clara, and pam). These form trees to describe the similarity structure, and are part of the cluster package.

Boorman & Olivier 4 Boorman, S. A., and Olivier, D. C. (1973) Metrics on Finite Trees. Journal of Mathematical Psychology, 10, 26-59. developed metrics on hierarchical clustering trees to allow measurement of the distance between two hierarchical trees. I have implemented code for these distances, and the R software is available here. The C-distance metrics replicate those found in the above paper; the D-metrics do not–this may be an error in the program or in the original paper.