Skip to main content
SpringerLink
Log in

How processes learn

  • Published:
Distributed Computing Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  1. Chandy KM, Misra J (1984) Drinking philosophers problem. TOPLAS, October 1984

  2. Fischer MJ, Lynch N, Paterson M (1985) Impossibility of distributed consensus with one faulty process, J ACM, April 1985

  3. Halpern JY, Moses Y (1984) Knowledge and common knowledge in a distributed environment. ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, Vancouver, Canada, August 1984

  4. Hintikka J (1962) Knowledge and belief. Cornell University Press

  5. Lamport L (1978) Time, Clocks and the orderings of events in a distributed system, Communications of the ACM 21: 558–564

    Google Scholar 

  6. Lehmann D (1984) Knowledge, common knowledge, and related puzzles. ACM SIGACT-SIGOPS Symposium of Principles of Distributed Computing, Vancouver, Canada, August 1984

  7. Lynch N&Fischer M (1982) A lower bound for the time to assure interactive consistency, Information Proc Letters 14, 4, June 1982

Download references

Author information

Authors and Affiliations

  1. Department of Computer Sciences, University of Texas at Austin, 78712, Austin, TX, USA

    K. M. Chandy & Jayadev Misra

Authors
  1. K. M. Chandy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jayadev Misra
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Jayadev Misra is a professor in the Department of Computer Sciences at the University of Texas at Austin. His primary research interests are in the area of distributed computing: specification and design of networks of asynchronous components. He believes that sound practical techniques must be based on elegant theories.

Mani Chandy is a professor of Computer Science and Electrical Engineering at the University of Texas at Austin. He is chairman of the Computer Sciences Department. His research interests are in distributed systems and performance analysis.

This work was supported in part by a grant from the Office of Naval Research under N00014-85-K-0057

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chandy, K.M., Misra, J. How processes learn. Distrib Comput 1, 40–52 (1986). https://doi.org/10.1007/BF01843569

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01843569

Keywords

Search

Navigation