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Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction.

. J. Artif. Gen. Intell., 2 (1): 1-28 (2010)

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Active Learning for Alert Triage., , , , and . ICMLA (2), page 34-39. IEEE, (2013)978-0-7695-5144-9.MEMS-based bubble pressure sensor for prosthetic socket interface pressure measurement., , , , , , and . EMBC, page 2925-2928. IEEE, (2011)Avoiding Spurious Submovement Decompositions II: A Scattershot Algorithm., and . Biol. Cybern., 94 (5): 409-414 (2006)Connecting Cognitive and Neural Models., , , , , and . BICA, volume 233 of Frontiers in Artificial Intelligence and Applications, page 329-330. IOS Press, (2011)Implementation of an embodied general reinforcement learner on a serial link manipulator., , , , and . ICRA, page 862-869. IEEE, (2012)Biologically inspired feature creation for multi-sensory perception.. BICA, volume 233 of Frontiers in Artificial Intelligence and Applications, page 305-313. IOS Press, (2011)BECCA: Reintegrating AI for Natural World Interaction.. AAAI Spring Symposium: Designing Intelligent Robots, volume SS-12-02 of AAAI Technical Report, AAAI, (2012)Concepts from Data.. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, volume FS-09-01 of AAAI Technical Report, AAAI, (2009)Kx-trees: An unsupervised learning method for use in developmental agents.. ICDL, page 13-18. IEEE, (2010)S-Learning: A Model-Free, Case-Based Algorithm for Robot Learning and Control.. ICCBR, volume 5650 of Lecture Notes in Computer Science, page 285-297. Springer, (2009)