Plan and candidate plan based system for achieving one or...

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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C706S047000, C706S045000

Reexamination Certificate

active

07640221

ABSTRACT:
A system for achieving a desired goal in a domain. The system may comprise a device operable to receive information and simulate the domain therefrom; a device operable to simulate one or more effects due to one or more operators; a device operable to specify a number of items and/or classes of items and whether each item and/or each class of items is an affectable obstacle or a non-affectable obstacle; a device operable to automatically generate a candidate plan to achieve the desired goal by utilizing the simulated domain and the simulated effect(s), wherein the candidate plan could involve one or more affectable obstacles but does not involve any non-affectable obstacles; and a device operable to automatically refine the candidate plan to change at least one of the affectable obstacles involved in the candidate plan.

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.
Jonsson et al., Ari, “Planning in Inteplanetary Space: Theory and Practice”, 2000.
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, et al. IDSIA, galleria 2, 6928 Manno-Lugano, Switzerland “Bias-Optimal Incremental Learning Of Control Sequences For Virtual Robots”.
Eric B. Baum, et al., NEC Research Institue, “An Evolutionary Post Production System” pp. 1-8.
Eric B. Baum, NEC Research Institute, “Manifesto For An Evoultionary Economics Of Intelligence” (1 page).
Jurgen Schmidhuber, Machine Learning, 54, 211-254, 2004, “Optimal 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, 2002, 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).
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.
Eric B. Baum, “Toward a Model of Intelligence as an Economy of Agents”, Machine Learning, 35:155-185 (1999).
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):1-22 Oct. 2002.
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.
Stuart Russell and Peter Norvig, “Artificial Intelligence: A Modern Approach”, Prentice Hall of India, pp. 375-461 (2007).
Eric B. Baum, NEC Research Institute, “Manifesto For An Evoultionary Economics Of Intelligence” pp. 1-60.
Nau et al. “SHOP2: An HTN Planning System”, J. of Al Research 20, 2003, pp. 379-404.
Munoz-Avila et al., “SiN: Integrating Case-based Reasoning with Task Decompositon”, Seventeenth International Joint Conference on Artificial Intelligence, Seattle, Aug. 2001, 7 pages.
Office Action from U.S. Appl. No. 12/231,160, mailed Sep. 15, 2009.

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