System and method for constructing cognitive programs

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C706S013000

Reexamination Certificate

active

07548893

ABSTRACT:
The present invention is directed to a method to search for a solution to a problem in a domain. The method may comprise obtaining a plurality of agents each operable to produce one or more numerical bids and to propose one or more actions and a plurality of nodes each representing a state of the domain; automatically selecting a respective agent and a respective node based on a bids from the plurality of agents; and automatically adding a new node representing a new state which is obtained by applying to the state represented by the selected node an action proposed by the selected agent. The plurality of nodes may each have a depth associated therewith and the respective agent and the respective node may be selected regardless of the depth associated with the selected node.

REFERENCES:
patent: 4935877 (1990-06-01), Koza
patent: 5136686 (1992-08-01), Koza
patent: 5148513 (1992-09-01), Koza et al.
patent: 5343554 (1994-08-01), Koza et al.
patent: 5390282 (1995-02-01), Koza et al.
patent: 5485601 (1996-01-01), Ching
patent: 5742738 (1998-04-01), Koza et al.
patent: 5790760 (1998-08-01), Arima et al.
patent: 5867397 (1999-02-01), Koza et al.
patent: 5870303 (1999-02-01), Trovato et al.
patent: 6058385 (2000-05-01), Koza et al.
patent: 6360191 (2002-03-01), Koza et al.
patent: 6424959 (2002-07-01), Bennett, III et al.
patent: 6532453 (2003-03-01), Koza et al.
patent: 6564194 (2003-05-01), Koza et al.
patent: 6658645 (2003-12-01), Akuta et al.
patent: 2004/0158355 (2004-08-01), Holmqvist et al.
Baum, “Toward a Model of Intelligence as an Economy of Agents”, 1999.
Eric B. Baum, A Bradford Book, The MIT Press, Cambridge, MA, London, England, “What is Thought?”, 2004 MIT, pp. 215-269.
Eric B. Baum et al., “What Size Net Gives Valid Generalization?” MIT Press 1989, pp. 81-90.
Eric B. Baum et al., NEC Research Institute, Evolution of Cooperative Problem-Solving In An Artificial Economy Feb. 28, 2000, pp. 1-24.
Jurgen Schmidhuber, Machine Learning, 54, 211-254, 2004, “Optical Ordered Problem Solver” 2004 Kluwer Academic Publishers, Manufactured in The Netherlands.
Jurgen Schmidhuber, “Optimal Ordered Problem Solver”, Technical Support IDSIA-12-02, Version 2.0, Dec. 23, 2003, pp. 1-43.
Juregen Schmidhuber, Advances in Neural Information Processing Systems 15, NIPS'15, MIT Press, Cambridge MA, 2003, in press. “Bias-Optimqal Incremental Problem Solving” (9 pages).
Jurgen Schmidhuber, Advances in Neural Information Processing Systems 15, NIPS'15, MIT Press, Cambridge MA, 2003, in press. “Bias-Optimal Incremental Problem Solving” (9 pages).
Nilsson, “Artificial Intelligence: A New Synthesis,” 1998, pp. 62-63.
Dongkyu Choi and Pat Langley, “Learning Teleoreactive Logic Programs from Problem Solving”, vol. 3625/2005, pp. 51-68.
Valiant, “A Neuroidal Architecture for Cognitive Computation”, Journal of the ACM, 47(5): 854-882 Sep. 2000.
Valiant, “Robust Logcs”, Artificial Intelligence 117; 231-253 (2000).
Eric B. Baum, “Focused Web Crawling using an Auction-based Economy”, ACM Journal Name, V(N):Oct. 1-22, 2002.
Stuart Russell and Peter Norvig, “Artificial Intelligence: A Modern Approach”, Prentice Hall of India, pp. 375-461 (2007).
Eric B. Baum, et al., NEC Research Institue, “An Evolutionary Post Production System” pp. 1-8 (2000).
Eric B. Baum, NEC Research Institute, “Manifesto For An Evoultionary Economics Of Intelligence” pp. 1-60 (1998).
Andreas Junghanns and Jonathan Schaeffer, “Sokoban: A Case-Study in the Application of Domain Knowledge in General Search Enhancements to Increase Efficiency in Single-Agent Search”, 1-37 (2000).
Jurgen Schmidhuber, et al. IDSIA, galleria 2, 6928 Manno-Lugano, Switzerland “Bias-Optimal Incremental Learning Of Control Sequences For Virtual Robots” (2002).
Jonsson et al., Ari, “Planning in Inteplanetary Space: Theoryand Pratice”, 2000.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

System and method for constructing cognitive programs does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with System and method for constructing cognitive programs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for constructing cognitive programs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4099355

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.