A society model for office information systems

A society model, which characterizes the behavior and procedure of offices, is proposed. It is our belief that an office system capable of dealing with all real office problems only through the modeling of the internal behavior of an office can be developed. In this society model, office entities are viewed as agents. An agent is modeled as a microsociety of interacting knowledge sources. Within the microsociety, there exists a microknowledge exchange system, which provides a set of microknowledge exchange protocols as a coordination system among those knowledge sources during their cooperative reasoning process. An office is then modeled as a society of various interacting agents using their knowledge to complete the office goals cooperatively. It is this unified view that allows offices to be modeled in a flexible and general way.

[1]  Marcos A. Bernal,et al.  OfficeTalk-D: An experimental office information system , 1982, COCS.

[2]  Moshé M. Zloof.  QBE/OBE: A Language for Office and Business Automation , 1981, Computer.

[3]  G.R. Redinbo.  Computer networks and their protocols , 1981, Proceedings of the IEEE.

[4]  Victor R. Lesser,et al.  The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty , 1980, CSUR.

[5]  Frederick Hayes-Roth,et al.  Building expert systems , 1983, Advanced book program.

[6]  W. M. Jaworski,et al.  A modelling tool for office information systems , 1982 .

[7]  Allen Newell,et al.  The Knowledge Level , 1989, Artif. Intell..

[8]  Daniele Nardi,et al.  Modeling the office structure: A first step towards the Office Expert System , 1984 .

[9]  Bruce G. Buchanan,et al.  The MYCIN Experiments of the Stanford Heuristic Programming Project , 1985 .

[10]  Patrick Henry Winston,et al.  The Society Theory of Thinking , 1982 .

[11]  Daniele Nardi,et al.  Modeling the office structure: A first step towards the Office Expert System , 1984, COCS '84.

[12]  S. Gibbs.  Office information models and the representation of 'office objects' , 1982, COCS.

[13]  Nils J. Nilsson,et al.  Principles of Artificial Intelligence , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  Michael D. Zisman,et al.  Representation, specification and automation of office procedures , 1977 .

[15]  Gregor von Bochmann,et al.  Formal Methods in Communication Protocol Design , 1980, IEEE Trans. Commun..

[16]  Douglas B. Lenat,et al.  The Nature of Heuristics , 1982, Artif. Intell..

[17]  B. Konsynski,et al.  A Model for Specification of Office Communications , 1982, IEEE Trans. Commun..

[18]  Dennis Tsichritzis,et al.  An office form flow model , 1980, AFIPS '80.

[19]  Patrick Henry Winston,et al.  Problem Solving about Electrical Circuits , 1982 .

[20]  Carl A. Sunshine.  Survey of Protocol Definition and Verification Techniques , 1978, Comput. Networks.

[21]  Michel Raynal,et al.  Structured Specification of Communicating Systems , 1983, IEEE Transactions on Computers.

[22]  S.L. Teger,et al.  Factors impacting the evolution of office automation , 1983, Proceedings of the IEEE.

[23]  Grady Booch,et al.  Object-oriented development , 1986, IEEE Transactions on Software Engineering.

[24]  Data processing-open systems interconnection - basic reference model , 1981, CCRV.

[25]  Nils J. Nilsson,et al.  Artificial Intelligence , 1974, IFIP Congress.

[26]  Clarence A. Ellis,et al.  Office Information Systems and Computer Science , 1980, CSUR.

[27]  Mark Stefik,et al.  Planning and Meta-Planning (MOLGEN: Part 2) , 1981, Artif. Intell..

[28]  Reid G. Smith,et al.  The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver , 1980, IEEE Transactions on Computers.

[29]  Thomas W. Malone,et al.  Designing organizational interfaces , 1985, CHI '85.

[30]  Jo-Mei Chang,et al.  Database Alerting Techniques for Office Activities Management , 1982, IEEE Trans. Commun..

[31]  Gevarter,et al.  Overview of Expert Systems , 1982 .

[32]  Randall Davis,et al.  Negotiation as a Metaphor for Distributed Problem Solving , 1988, Artif. Intell..

[33]  J. Turner,et al.  社会学理论的结构 = The Structure of Sociological Theory , 1975 .

[34]  Gul A. Agha,et al.  A Message-Passing Paradigm for Object Management , 1985, IEEE Database Eng. Bull..

[35]  F.H. Lochovsky,et al.  Improving office productivity: A technology perspective , 1983, Proceedings of the IEEE.

[36]  Clarence A. Ellis,et al.  OfficeTalk-D: An experimental office information system , 1982 .

[37]  E. Miller.  Handbook of Social Psychology , 1946, Mental Health.

[38]  S. K. Chang,et al.  An experimental message management system using linguistic filters , 1984, SIGOA.

[39]  Moshé M. Zloof.  A Language for Office and Business Automation , 1979, Data Base Design Techniques II.

[40]  Roy J. Byrd,et al.  An actor-based programming system , 1982 .

[41]  Thomas W. Malone,et al.  Tradeoffs in designing organizations: implications for new forms of human organizations and computer systems , 1984 .

[42]  Ben Shneiderman,et al.  Multiparty Grammars and Related Features for Defining Interactive Systems , 1982, IEEE Transactions on Systems, Man, and Cybernetics.

[43]  R. Byrd,et al.  An actor-based programming system , 1982, COCS.

[44]  Gregor von Bochmann.  A General Transition Model for Protocols and Communication Services , 1980, IEEE Trans. Commun..

[45]  Ross A. Webber.  Management : basic elements of managing organizations , 1975 .

[46]  Avron Barr,et al.  The Handbook of Artificial Intelligence , 1982 .

[47]  F.J. Maryanski,et al.  Information management trends in office automation , 1983, Proceedings of the IEEE.

[48]  Gerald R. Barber,et al.  Supporting organizational problem solving with a work station , 1988, TOIS.

[49]  Carl Hewitt,et al.  Viewing Control Structures as Patterns of Passing Messages , 1977, Artif. Intell..