default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAAAI Spring Symposium 2006 - Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems: Stanford University, CA, USA
- Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-02, Stanford, California, USA, March 27-29, 2006. AAAI 2006
- Christian Lebiere, Robert E. Wray:
Organizing Committee. - Christian Lebiere, Robert E. Wray:
Motivating the 2006 AAAI Spring Symposium: Cognitive Science Principles Meet AI-Hard Problems. - Jerry T. Ball:
Can NLP Systems be a Cognitive Black Box? (Is Cognitive Science Relevant to AI Problems?). 1-6 - Jacob Beal, Gerald J. Sussman:
CogSci to AI: It's the Brainware, Stupid! 7-8 - Paul Bello:
New Challenges for AI in Military Simulation: Are Multilevel Heterogeneous Models the Solution? 9-10 - Bradley J. Best:
Cognitive Approaches to the Traveling Salesperson Problem: Perceptual Complexity that Produces Computational Simplicity. 11-16 - Henry Brighton:
Robust Inference with Simple Cognitive Models. 17-22 - Selmer Bringsjord, Micah Clark:
For Problems Sufficiently Hard ... AI Needs CogSci. 23-26 - Nicholas Cassimatis:
Artificial Intelligence and Cognitive Science Have the Same Problem. 27-32 - B. Chandrasekaran:
Multi-Modal Cognitive States: Augmenting the State in Cognitive Architectures. 33-38 - Carlos Diuk, Michael L. Littman:
A Change Detection Model for Non-Stationary k-Armed Bandit Problems. 39 - Sidney K. D'Mello, Stan Franklin, Uma Ramamurthy, Bernard J. Baars:
A Cognitive Science Based Machine Learning Architecture. 40-45 - Susan L. Epstein:
In Support of Pragmatic Computation. 46-51 - Leona F. Fass:
Neither Here nor There: Inference Research Bridges the Gaps between Cognitive Science and AI. 52-57 - Boris A. Galitsky, Igor Spitsberg:
How One Can Learn Programming while Teaching Reasoning to Children with Autism. 58-63 - Helmar Gust, Kai-Uwe Kühnberger:
The Relevance of Artificial Intelligence for Human Cognition. 64-69 - Troy D. Kelley:
Simulating Intelligent Behavior Requires a Complex Approach. 70-73 - William F. Lawless, Laurent Chaudron, C. P. Abubucker, C. R. Howard, Nicole N. Kriegel:
AI, Cognitive, and Quantum Models of Organizations: A Progress Report. 74-79 - Moshe Looks, Ben Goertzel:
Mixing Cognitive Science Concepts with Computer Science Algorithms and Data Structures: An Integrative Approach to Strong AI. 80-85 - Russell R. Vane III, Douglas Griffith:
Cognitive Automation Solves Many AI-Hard Problems. 86-90 - Sashank Varma, Marcel Adam Just:
4CAPS: An Adaptive Architecture for Human Information Processing. 91-96 - Pei Wang:
Artificial Intelligence: What It Is, and What It Should Be. 97-
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2026-06-11 23:07 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
