Marc Pickett

According to our database1, Marc Pickett authored at least 16 papers between 2002 and 2015.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2015
Building high assurance human-centric decision systems.
Autom. Softw. Eng., 2015

2013
The AAAI-13 Conference Workshops.
AI Magazine, 2013

High assurance human-centric decision systems.
Proceedings of the 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, 2013

Acquiring User Models to Test Automated Assistants.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

Spontaneous Analogy by Piggybacking on a Perceptual System.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Preface.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

Building on Deep Learning.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

Organizers.
Proceedings of the Learning Rich Representations from Low-Level Sensors, 2013

2008
Essential Phenomena of General Intelligence.
Proceedings of the Artificial General Intelligence 2008, 2008

2007
Using Analogy Discovery to Create Abstractions.
Proceedings of the Abstraction, 2007

Representation Change in the Marchitecture.
Proceedings of the Computational Approaches to Representation Change during Learning and Development, 2007

The Marchitecture: A Cognitive Architecture for a Robot Baby.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

The Übercruncher: Concept Formation by Analogy Discovery.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005
The Cruncher: Automatic Concept Formation Using Minimum Description Length.
Proceedings of the Abstraction, 2005

2002
Research Summary.
Proceedings of the Abstraction, 2002

PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning.
Proceedings of the Machine Learning, 2002


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