|
Agrawal R, Cochrane R and Lindsay B, 1991, “On Maintaining Priorities in a Production Rule System” In: Camps Lohman S, ed., Proceedings 17th VLDB Conference pp 479–487, Barcelona.
Google Scholar
|
|
Aiken A, Widom J and Hellerstein JM, 1992, “Behaviour of Database Production Rules: Termination, Confluence, and Observable Determinism” In: Proceedings ACM SIGMOD tnt. Conf on Management of Data, San Diego, CA.
Google Scholar
|
|
Anderson JA, 1983, The Architecture of CognitionHarvard University Press.
Google Scholar
|
|
Bahr E, Barachini F and Mistelberger H, 1992, “A New Parallelization Method for Production Systems” In: Proceedings hit. Conf. on Fifth Generation Computer Systems pp 969–976, Tokyo, Japan.
Google Scholar
|
|
Bancilhon F, Delobel C and Kanellakis P, 1992, Building an Object-Oriented Database System: the story of 02Morgan Kaufmann.
Google Scholar
|
|
Barthcz M, Kiernan G, Maindreville C and Simon E, 1988, “An Overview of the RDLI Deductive Database System” Technical Report N-1133, INRIA, Rocquencourt, France.
Google Scholar
|
|
Been C and Milo T, 1991, “A Model for Active Object Oriented Database” In: Camps Lohman S, ed., Proceedings 17th VLDB Conference pp 337–349, Barcelona.
Google Scholar
|
|
Blakeley JA, Coburn N and Larson P, 1989, “Updating Derived Relations: Detecting Irrelevant and Autonomously Computable Updates”. ACM Trans. Database Systems. 14(3) 369–400, 09.
Google Scholar
|
|
Buchanan BG and Mitchell T, 1978, “Model-directed learning by production rules” In: Waterman DA and Hayes-Roth F, eds., Pattern-Directed Inference SystemsAcademic Press.
Google Scholar
|
|
Buneman OP and Clemons EK, 1979, “Efficiently Monitoring Relational Databases” ACM Trans. Database Systems.4(3) 368–382, 09.
Google Scholar
|
|
Cacace F and Ceri S, 1990, “Integreating Object-Oriented Data Modelling with a Rule-Based Programming Paradigm” In: Garcia-Molina H and Jagadish HV, eds., Proceedings ACM Conference on the Management of Data (SIGMOD) pp 225–236, Atlantic City, 05.
Google Scholar
|
|
Caseau Y, 1991, “An Object-Oriented Deductive Language”, Ann. Mathematics and Artificial Intelligence3.
Google Scholar
|
|
Ceri S, Gottlob G and Tanca L, 1989, “What You Always Wanted to Know About Datalog (And Never Dared to Ask)” IEEE Trans. Knowledge and Data Engineering1(1) 146–166, 03.
Google Scholar
|
|
Ceri S, Gottlob G and Tanca L, 1990, Logic Programming and DatabasesSpringer-Verlag.
Google Scholar
|
|
Ceri S and Widom J, 1990, “Deriving Production Rules for Constraint Maintenance” In: McLcod, ed., Proceedings 16th VLDB Conference pp 566–577, Brisbane, 08.
Google Scholar
|
|
Ceri S and Widom J, 1992-a, “Deriving Incremental Production Rules for Deductive Data” Rapporto interno n. 92-081, Politecnico di Milano.
Google Scholar
|
|
Ceri S and Widom J, 1992-b, “Production Rules in Parallel and Distributed Database Environments” In: Yuan , ed., Proceedings 18th VLDB Conference pp 339–351, Vancouver, Canada, August.
Google Scholar
|
|
Chakravarthy S, 1989, “Rule Management and Evaluation: An Active DBMS Perspective” S1GMOD REC., Special issue on Rule Management and Processing in Expert Database Systems18(3),09.
Google Scholar
|
|
Chomsky AN1957, Syntactic StructuresThe Hague: Mouton.
Google Scholar
|
|
Cooper R, Fox J, Farringdon J and Shallice T, 1992, “Towards a systematic methodology for cognitive modelling”.
Google Scholar
|
|
Czejdo B, Eick Ch and Taylor M, 1991, “TANGUY: Integrating Database, Rule-based and Object- Oriented Paradigms” In: 2nd International Symposium on Database Systems for Advanced Applications pp 339–346, Tokyo, 04.
Google Scholar
|
|
Davis R, 1980, “Meta-rules: reasoning about control” Artificial Intelligence15(3).
Google Scholar
|
|
Davis R, 1982, “Applications of meta-level knowledge to the construction, maintenance and use of large knowledge bases” In: Davis R and Lenat DB, eds., Knowledge-based Systems in Artificial IntelligenceMcGraw-Hill.
Google Scholar
|
|
Davis R and King J, 1976, “An overview of production systems” In: Elcock EW and Michie D, eds., 1976, Machine Intelligence vol 8 Wiley, 300–332.
Google Scholar
|
|
Diaz O, Paton N and Gray P, 1991, “Rule Management in Object Oriented Databases: A Uniform Approach” In: Camps Lohman S, ed., Proceedings 17th VLDB Conference pp 317–326, Barcelona, 09.
Google Scholar
|
|
Erman LD, Hayes-Roth VR, Lesser VR and Reddy RD, 1980, “The HEARSAY-Il speech understanding system: Integrating knowledge to resolve uncertainty” ACM Computing Surveys12(2).
Google Scholar
|
|
Forgy CL, 1982, “Rete: a fast algorithm for the man pattern/many object pattern match problem” Artificial Intelligence19(1) 17–37.
Google Scholar
|
|
Forgy C and McDermott J, 1976, “OPS, a domain-independent production system language” In: Proceedings 5th International Joint Conference on Artificial IntelligenceCambridge, MA, 933–939.
Google Scholar
|
|
Gardarin G, de Maindreville C and Simon E, 1989, Extending a Relational DBMS Towards a Rule-Based System: An Approach Using Predicate Transition Nets pp 131–152, Springer-Verlag.
Google Scholar
|
|
Gehani N and Jagadish HV, 1991, “Ode as an Active Database: Constraints and Triggers” In Camps Lohman S, ed., Proceedings 17th VLDB Conference pp 327–336, Barcelona, 09.
Google Scholar
|
|
Gehani NH, Jagadish HV and Shmueli O, 1992, “Event Specification in an Active Object-Oriented Database” In: Proceedings ACM SIGMOD Int. Conf on Management of DataSan Diego, CA,06.
Google Scholar
|
|
Gehani NH, Jagadish HV and Shmueli O, 1992-a, “Composite Event Specification in Active Databases: Model and Implementation” In: Proceedings 18th mt. Conf on Very Large DatabasesVancouver, Canada, 08.
Google Scholar
|
|
Hajnal SJ, Fox J and Krause PJ, 1989, “Sceptic User manual” Technical ReportImperial Cancer Research Fund.
Google Scholar
|
|
Hanson EN, 1989, “An Initial report on the Design of Arid: A DBMS With an Integrated production Rule System” ACM SIGMOD Record18(3) 10.
Google Scholar
|
|
Hanson EN, 1992, “Rule Condition Testing and Action Execution in Arid” In: Proceedings ACM SIGMOD mt. Conf. on Management of DataSan Diego, CA, 06.
Google Scholar
|
|
Held G, 1975, “INGRES: A Relational Data Base System” In: Proceedings National Computer ConferenceAnaheim, CA, 06.
Google Scholar
|
|
Hellerstein JM, 1991, “Determinism in Partially Ordered Production Systems” IBM research report.
Google Scholar
|
|
Ingres Corporation, Introducing INGRES Release 6.4”
Google Scholar
|
|
lyengar SS, Sabharwal A, Pin FG and Weisbin CR, 1992, “Asynchronous production system for control of an autonomous mobile robot in real-time environment” Applied Artificial Intelligence6(4) 485–510.
Google Scholar
|
|
Kiernan G, Maindrcville C and Simon E, 1987, “A Production Rule Language for Databases extended towards the Support of Complex Domains” Technical Report N-1133 INRIA, Rocquencourt, France.
Google Scholar
|
|
Kiernan O, Maindrcville C and Simon E, 1990, “Making a Deductive Database a Practical Technology: a step forward” In: Garcia-Molin H and Jagadish HV eds., Proceedings ACM Conference on the Management of Data (SIGMOD) pp 237–246, Atlantic City, 05.
Google Scholar
|
|
Kim W, Lee Y and Seo J, 1992, “A Framework For Supporting Triggers in Object-Oriented Database Systems” Int. Journal of intelligent and Cooperative Information Systems1(1) 127–143.
Google Scholar
|
|
Laird JE, Newell A and Rosenbloom PS, 1982, “SOAR: an architecture for general intelligence” Artificial intelligence33(1).
Google Scholar
|
|
Lohman GM, Lindsay B, Pirahesh H and Schiefer KB, 1991, “Extensions to Starburst: Objects, Types, Functions and Rules” Communications of the ACM34(10) 94–109, 10.
Google Scholar
|
|
Markov A, 1954, “Theory of Algorithms” National Academy of Sciences, USSR.
Google Scholar
|
|
McCarthy DR and Dayal U, 1989, “The Architecture Of An Active Data Base Management System” In: Proceedings ACM SIGMOD Conference on Management of Data pp 215–224, Portland, OR, 06.
Google Scholar
|
|
Meyfarth R, 1991, “ACTROB: An Active Robotic Knowledge Base” In: 2ndlnternational Symposium on Database Systems for Advanced Applications pp 330–338, Tokyo, 04.
Google Scholar
|
|
Newell A, 1973, “Production systems: models of control structures” In: Chase WG, ed., Visual Information processingAcademic Press, 463–526.
Google Scholar
|
|
Newell A, 1991, Unified Theories of CognitionHarvard University Press.
Google Scholar
|
|
Newell A and McDermott J, 1975, “PSG manual”. Department of Computer Science, Carnegie-Mellon University.
Google Scholar
|
|
Newell A and Simon HA, 1972, Human Problem SolvingPrentice-Hall.
Google Scholar
|
|
Nii HP and Feigenbaum EA, 1978, “Rule based understanding of Signals” In: Waterman DA and Hayes-Roth F, eds., Pattern-Directed Inference SystemsAcademic Press.
Google Scholar
|
|
Post EL1943, “Formal Reductions of the general combinatorial decision problem” American Journal of Mathematics65: 197–268.
Google Scholar
|
|
Rosenthal A, Chakravarthy S and Blaustein B, 1989, “Situation Monitoring for Active Databases” In: Wiederhold , ed., Proceedings 15th VLDB Conference pp 455–463, Amsterdam, 08.
Google Scholar
|
|
Schreier U, Pirahesh H, Agrawal R and Mohan C, 1991, “Alert: An Architecture for Transforming a Passive DBMS into an Active DBMS” In: Camps Lohman S., ed., Proceedings 17th VLDB Conference pp 469–477, Barcelona, 09.
Google Scholar
|
|
Simon E, Kiernan J and Maindreville C, 1992, “Implementing High Level Active Rules on top of a Relational DBMS” In: Yuan , ed., Proceedings 18th VLDB Conference pp 315–326, Vancouver, Canada, 08.
Google Scholar
|
|
Shortliffe EH, 1976, Computer-based Medical Consultations: MYCINElsevier.
Google Scholar
|
|
Stonebrake M, Hanson EN and Potamianos S, 1988, “The POSTGRES Rule Manager” IEEE Trans. Software Engineering14(7) 897–907, 07.
Google Scholar
|
|
Stonebraker M and Jhingran A, 1990, “On Rules, Procedures, Caching and Views in Data Base Systems” In Garcia-Molina H and Jagadish HV, eds., Proceedings ACM Conference on the Management of Data (SIGMOD) pp 281–290, Atlantic City, 05.
Google Scholar
|
|
Stoncbrakcr M, Rowe LA and Hirohama M, 1989, “The Implementation of Postgres” Technical report, University of California, Berkeley.
Google Scholar
|
|
Vaghani J, Ramamohanarao K, Kemp D, Somogyi Z and Stuckey P, 1990, “Design overview of the Aditi deductive database system” In: Proceedings NACLP Workshop on Deductive Databases KansasState University.
Google Scholar
|
|
Vere SA, 1978, “Inductive learning of relational production systems” In: Waterman DA and Hayes-Roth F, eds., Pattern-Directed Inference SystemsAcademic Press.
Google Scholar
|
|
Vicille L, Bayer P, Küchenhoff V, Lefebvre A and Manthey R, 1991, “An Overview of the EKS-VI System” TR-KB-38, ECRC, August.
Google Scholar
|
|
Waterman DA and Hayes-Roth F, 1978, Pattern-Directed inference SystemsAcademic Press.
Google Scholar
|
|
Widom J, Cochrane RJ and Lindsay BG, 1991, “Implementing Set-Oriented Production Rules as an Extension to Starburst” In: Camps Lohman S, ed., Proceedings 17th VLDB Conference pp 275–285, Barcelona, 09.
Google Scholar
|
|
Widorn J and Finkelstein SJ, 1990, “Set-Oriented Production Rules in Relational Database Systems” ACM Trans. Database Systems259–270.
Google Scholar
|
|
Zhou Y and Hsu M, 1990, “A Theory for Rule Triggering Systems” In: Bancilhon F, Thanos C and Tsichritzis , eds., Proceedings 2nd International Conference on Extending Database Technology (EDBT 90) pp 407–421, Venice, Italy, 03.
Google Scholar
|