IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v36y1994i2p137-148.html
   My bibliography  Save this article

Inference in cognitive maps

Author

Listed:
  • Wellman, Michael P.

Abstract

Cognitive mapping is a qualitative decision modeling technique developed over twenty years ago by political scientists, which continues to see occasional use in social science and decision-aiding applications. In this paper, I show how cognitive maps can be viewed in the context of more recent formalisms for qualitative decision modeling, and how the latter provide a firm semantic foundation that can facilitate the development of more powerful inference procedures as well as extensions in expressiveness for models of this sort.

Suggested Citation

  • Wellman, Michael P., 1994. "Inference in cognitive maps," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 36(2), pages 137-148.
    • Handle: RePEc:eee:matcom:v:36:y:1994:i:2:p:137-148
    DOI: 10.1016/0378-4754(94)90028-0
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0378475494900280
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/0378-4754(94)90028-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ariel Levi & Philip E. Tetlock, 1980. "A Cognitive Analysis of Japan's 1941 Decision for War," Journal of Conflict Resolution, Peace Science Society (International), vol. 24(2), pages 195-211, June.
    2. Robert Axelrod, 1977. "Argumentation in Foreign Policy Settings," Journal of Conflict Resolution, Peace Science Society (International), vol. 21(4), pages 727-756, December.
    3. Eden, Colin, 1988. "Cognitive mapping," European Journal of Operational Research, Elsevier, vol. 36(1), pages 1-13, July.
    4. Ross D. Shachter, 1986. "Evaluating Influence Diagrams," Operations Research, INFORMS, vol. 34(6), pages 871-882, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. van Kouwen, Frank & Dieperink, Carel & Schot, Paul P. & Wassen, Martin J., 2007. "Interactive Problem Structuring with ICZM Stakeholders," Natural Resources Management Working Papers 9555, Fondazione Eni Enrico Mattei (FEEM).
    2. Marchant, Thierry, 1999. "Cognitive maps and fuzzy implications," European Journal of Operational Research, Elsevier, vol. 114(3), pages 626-637, May.
    3. G Montibeller & V Belton & F Ackermann & L Ensslin, 2008. "Reasoning maps for decision aid: an integrated approach for problem-structuring and multi-criteria evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 575-589, May.
    4. Rodrigues, Teresa C. & Montibeller, Gilberto & Oliveira, Mónica D. & Bana e Costa, Carlos A., 2017. "Modelling multicriteria value interactions with Reasoning Maps," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1054-1071.
    5. Frank van Kouwen & Card Dieperink & Paul P Schot & Martin J Wassen, 2009. "Computer-Supported Cognitive Mapping for Participatory Problem Structuring," Environment and Planning A, , vol. 41(1), pages 63-81, January.
    6. Montibeller, Gilberto & Belton, Valerie, 2009. "Qualitative operators for reasoning maps: Evaluating multi-criteria options with networks of reasons," European Journal of Operational Research, Elsevier, vol. 195(3), pages 829-840, June.
    7. G Montibeller & V Belton, 2006. "Causal maps and the evaluation of decision options—a review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(7), pages 779-791, July.
    8. Frank van Kouwen & Carel Dieperink & Paul P. Schot & Martin J. Wassen, 2007. "Interactive Problem Structuring with ICZM Stakeholders," Working Papers 2007.52, Fondazione Eni Enrico Mattei.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marchant, Thierry, 1999. "Cognitive maps and fuzzy implications," European Journal of Operational Research, Elsevier, vol. 114(3), pages 626-637, May.
    2. Bielza, Concha & Gómez, Manuel & Shenoy, Prakash P., 2011. "A review of representation issues and modeling challenges with influence diagrams," Omega, Elsevier, vol. 39(3), pages 227-241, June.
    3. Zitrou, Athena & Bedford, Tim & Walls, Lesley, 2010. "Bayes geometric scaling model for common cause failure rates," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 70-76.
    4. Tan, Kim Hua & Zhan, YuanZhu & Ji, Guojun & Ye, Fei & Chang, Chingter, 2015. "Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph," International Journal of Production Economics, Elsevier, vol. 165(C), pages 223-233.
    5. Prakash Shenoy, 1998. "Game Trees For Decision Analysis," Theory and Decision, Springer, vol. 44(2), pages 149-171, April.
    6. Oepping, Hardy, 2016. "Ein Bayes-Netz zur Analyse des Absturzrisikos im Gerüstbau [A Bayesian network for analysing the risk of falling from height in scaffolding]," MPRA Paper 73602, University Library of Munich, Germany.
    7. Borgonovo, Emanuele & Tonoli, Fabio, 2014. "Decision-network polynomials and the sensitivity of decision-support models," European Journal of Operational Research, Elsevier, vol. 239(2), pages 490-503.
    8. Bensi, Michelle & Kiureghian, Armen Der & Straub, Daniel, 2013. "Efficient Bayesian network modeling of systems," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 200-213.
    9. Groth, Katrina M. & Smith, Reuel & Moradi, Ramin, 2019. "A hybrid algorithm for developing third generation HRA methods using simulator data, causal models, and cognitive science," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    10. Vic Hasselblad & Douglas C. McCrory, 1995. "Meta-analytic Tools for Medical Decision Making: A Practical Guide," Medical Decision Making, , vol. 15(1), pages 81-96, February.
    11. Bolger, Fergus & Wright, George, 2017. "Use of expert knowledge to anticipate the future: Issues, analysis and directions," International Journal of Forecasting, Elsevier, vol. 33(1), pages 230-243.
    12. Concha Bielza & Prakash P. Shenoy, 1999. "A Comparison of Graphical Techniques for Asymmetric Decision Problems," Management Science, INFORMS, vol. 45(11), pages 1552-1569, November.
    13. Thwaites, Peter A. & Smith, Jim Q., 2018. "A graphical method for simplifying Bayesian games," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 3-11.
    14. Stephen G. Pauker & John B. Wong, 2005. "The Influence of Influence Diagrams in Medicine," Decision Analysis, INFORMS, vol. 2(4), pages 238-244, December.
    15. Barry R. Cobb, 2007. "Influence Diagrams with Continuous Decision Variables and Non-Gaussian Uncertainties," Decision Analysis, INFORMS, vol. 4(3), pages 136-155, September.
    16. Debarun Bhattacharjya & Ross D. Shachter, 2012. "Formulating Asymmetric Decision Problems as Decision Circuits," Decision Analysis, INFORMS, vol. 9(2), pages 138-145, June.
    17. Lipshitz, Raanan & Strauss, Orna, 1997. "Coping with Uncertainty: A Naturalistic Decision-Making Analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(2), pages 149-163, February.
    18. Misuri, Alessio & Khakzad, Nima & Reniers, Genserik & Cozzani, Valerio, 2019. "A Bayesian network methodology for optimal security management of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    19. Sättele, Martina & Bründl, Michael & Straub, Daniel, 2015. "Reliability and effectiveness of early warning systems for natural hazards: Concept and application to debris flow warning," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 192-202.
    20. Özgür-Ünlüakın, Demet & Bilgiç, Taner, 2017. "Performance analysis of an aggregation and disaggregation solution procedure to obtain a maintenance plan for a partially observable multi-component system," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 652-662.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:36:y:1994:i:2:p:137-148. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.