« 上一頁繼續 »
A system, apparatus and application for providing robots with the ability to intelligently respond to perceived situations are described. A knowledge database is assembled automatically, based on distributed knowledge capture. The knowledge base embodies the "common sense," that is, the consensus, of the subjects who contribute the knowledge. Systems are provided to automatically preprocess, or "clean" the information to make it more useful. The knowledge thus refined is utilized to construct a multidimensional semantic network, or MSN. The MSN provides a compact and efficient semantic representation suitable for extraction of knowledge for inference purposes and serves as the basis for task and response selection. When the robot perceives a situation that warrants a response, an appropriate subset of the MSN is extracted into a Bayes network. The resultant network is refined, and used to derive a set of response probabilities, which the robot uses to formulate a response.
Singh et al ("LifeNet: A Propositional Model of Ordinary Human Activity" 2003).*
Liu et al ("OMCSNet: A commonsense Inference Toolkit" 2003).* Liu et al ("ConceptNet: A Practical Commonsense Reasoning Toolkit").*
Eagle et al ("context sensing using speech and common sense" May 2004).*
Artificial Intelligence—A Modern Approach, Second Edition, Russell and Norvig, Prentice Hall, New Jersey 2003/1995, pp. 462-536. Brill, Eric A Simple-Rule Based Part-of-Speech Tagger, Proceedings of ANLP-92,34d Conference on Applied Natural Language Processing, Trento, IT, 1992, pp. 1-4.
Gupta, Rakesh et al., "Common Sense Data Acquisition for Indoor
Mobile Robots," Nineteenth National Conference on Artificial Intel-
ligence (AAAI-04), Jul. 25-29, 2004, pp. 1-6.
Stork, David G., "Open Mind Initiative," ICDAR99, Bangalore,
India, pp. 1-28.
Arroyo, A.A., "A Prototype Natural Language Processing System for
Small Autonomous Agents," Machine Intelligence Laboratory,
Department of Electrical and Computer Engineering, University of
Florida, pp. 1-6.
Baumgartner, P. et al., "Automated Reasoning Support for SUMO/ KIF," Max-Planck-Institute for Computer Science, Saarbrucken, Germany, Feb. 4, 2005, pp. 1-18.
Kalinichenko, L.A., "Rule-Based Concept Definitions Intended for Reconciliation of Semantic Conflicts in the Interoperable Information Systems," Institute for Problems of Informatics, Proceedings of the Second International Baltic Workshop on DB and IS, Jun. 1996, pp. 1-12.
Kurfess, F.J., "CPE/CSC 481: Knowledge-Based Systems," 2005-6, Retrieved from the Intemet<URL:www.csc.calpoly.edu/~fkurfess/ Courses/48 l/Slides/>.
Laskey, K.B., "Knowledge Representation and Inference for Multisource Fusion," Apr. 2002, Retrieved from the Internet <URL: www.msri. org/ publications/In/ho sted/ nas/2002/ laskey/1 /banner/01 .html>.
"Markov Chain," Wilipedia, the free encyclopedia, [online] [Retrieved on Mar. 30, 2006] Retrieved from the InterneKURL: http://en.wikipedia.org/wiki/Markcov_chain>. Matsuda, Y. et al., "Synthesis of Multiple Answer Evaluation Measures Using a Machine Learning Technique for a QA System," Proceedings of the NTCIR-5 Workshop Meeting, Dec. 6-9, 2005, 7 pages.
"Mixed-Initiative Activity Planning," NASA Ames Research Center, 2004, [online] [Retrieved on Nov. 21, 2006] Retrieved from the Internet<URL:http://ic.arc.nasa.gov/publications/pdf/Mixed_ Initiative_Act .pdf>.
Setiono, R. et al., "Automatic Knowledge Extraction from Survey Data: Learning M-of-N Constructs Using a Hybrid Approach," Journal of the Operational Research Society, 2005, pp. 3-14, vol. 56. Soricut, R. et al., "Automatic Question Answering: Beyond the Factoid," [online] [Retrieved on Nov. 28, 2006] Retrieved from the Internet<URL:http://acl.Idc.upenn.edu/hlt-naacl2004/main/pdf/ 104_Paper.pdf>.
International Search Report and Written Opinion, PCT/US06/23822, Oct. 9, 2007.
International Search Report and Written Opinion, PCT/US06/02204, Feb. 13, 2008.
International SearchReport and Written Opinion, PCT/US07/61061, Nov. 26, 2007.
International Search Report and Written Opinion, PCT/US06/23554, Mar. 20, 2008.
Fei, T., et al., Question Classification for E-learning by Artificial Neural Network, IEEE, 2003, p. 1757-1761.
Klein, D., et al., "Prasing with Treebank Grammars: Empirical Bounds, Theoretical Models, and the Structure of the Perm Treebank," Proceedings of the 39"" Annual Meeting of the ACL, 2001.
Pratt, L., "Non-literal Transfer Among Neural Network Learners," Jan. 7, 1993, p. 1-25.
Stork, D., et al., "The OpenMind Initiative," IEEE Experts Systems and Their Applications, May/Jun. 1999, p. 19-20, vol. 14, No. 3. Waibel, A., et al., "Modularity and Scaling in large Phonemic Neural Networks," IEEE Transactions on Acoustics, Speech, and Signal Processing, Dec. 1989, p. 1888-1898, vol. 37, No. 12. Zhang, W., "Representation of Assembly and Automatic Robot Planning by Petri Net," IEEE Transactions on Systems, Man, and Cybernetics, Mar./Apr. 1989, vol. 19, No. 2.
Raynor, W., "The internation dictionary of Artificial Intelligence," 1999, cover and p. 186 only.
Elena, G., "An Approach to Designing Intelligent Decision-Making
Support Systems on the Basis of the Logic-Semiotic Apparatus,"
Proceedings of the 2002 IEEE International Conference on Artificial
Intelligence System, (ICAIS'02), 2002, 8 Pages.
Non-Final Office Action, Japanese Patent Application No. P2008-
520252, Oct. 20, 2009, 14 Pages.
Non-Final Office Action, Japanese Patent Application No. P2008520252, Jul. 6, 2009, 9 Pages.
Inamura, T., PEXIS: Probabilistic Experience Representation Based Adaptive Interaction System for Personal Robots, IEICE Transactions, The Institute of Electronics, Information and Communication Engineers, Jun. 1, 2001, vol. J84-D-1, No. 6, pp. 867-877. Japanese Office Action, Japanese Patent Application No. P2008520252, Feb. 2, 2010, 17 pages.
Japanese Office Action, Japanese Patent Application No. P2008553450, Feb. 17, 2010, 7 pages.
* cited by examiner