research-article

Normative, cultural and cognitive aspects of modelling policies

Authors:

Virginia Dignum,

Sjoukje A. Osinga,

Gert Jan HofstedeAuthors Info & Claims

WSC '10: Proceedings of the Winter Simulation Conference

Pages 720 - 732

Published: 05 December 2010 Publication History

Abstract

Effective support for policy makers depends on the ability to model the micro level, in terms of adaptive individual decision making process given subjective social norms, individual preferences, and interpretation of policies. But also requires the specification of macro level changes such as institutions and emerging norms and values. In this paper, we introduce the MASQ metamodel to describe both the macro as well as the micro level issues that relate to policy evaluation, and their interactions. We use a real life scenario, on the pig farm industry in China, to illustrate our proposal.

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Cited By

Wildman W(2019)Modeling ethicsProceedings of the Annual Simulation Symposium10.5555/3338027.3338032(1-11)Online publication date: 29-Apr-2019
https://dl.acm.org/doi/10.5555/3338027.3338032
Srour FYorke-Smith NJonker CMarsella SThangarajah JTuyls K(2016)Assessing Maritime Customs Process Re-Engineering using Agent-Based SimulationProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems10.5555/2936924.2937040(786-795)Online publication date: 9-May-2016
https://dl.acm.org/doi/10.5555/2936924.2937040
Harb HSrour FYorke-Smith N(2011)A case study in model selection for policy engineeringProceedings of the 10th international conference on Advanced Agent Technology10.1007/978-3-642-27216-5_2(3-18)Online publication date: 2-May-2011
https://dl.acm.org/doi/10.1007/978-3-642-27216-5_2

Index Terms

Normative, cultural and cognitive aspects of modelling policies
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Cognitive robotics
    2. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science
  2. Modeling and simulation
    1. Model development and analysis
      1. Model verification and validation

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Information & Contributors

Information

Published In

cover image ACM Conferences

WSC '10: Proceedings of the Winter Simulation Conference

December 2010

3519 pages

ISBN:9781424498642

Sponsors

IIE: Institute of Industrial Engineers
INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
SCS: Shanghai Computer Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling

Publisher

Winter Simulation Conference

Publication History

Published: 05 December 2010

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Research-article

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WSC10

Sponsor:

IIE
INFORMS-SIM
SCS
SIGSIM

WSC10: Winter Simulation Conference

December 5 - 8, 2010

Maryland, Baltimore

Acceptance Rates

WSC '10 Paper Acceptance Rate 184 of 281 submissions, 65%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Wildman W(2019)Modeling ethicsProceedings of the Annual Simulation Symposium10.5555/3338027.3338032(1-11)Online publication date: 29-Apr-2019
https://dl.acm.org/doi/10.5555/3338027.3338032
Srour FYorke-Smith NJonker CMarsella SThangarajah JTuyls K(2016)Assessing Maritime Customs Process Re-Engineering using Agent-Based SimulationProceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems10.5555/2936924.2937040(786-795)Online publication date: 9-May-2016
https://dl.acm.org/doi/10.5555/2936924.2937040
Harb HSrour FYorke-Smith N(2011)A case study in model selection for policy engineeringProceedings of the 10th international conference on Advanced Agent Technology10.1007/978-3-642-27216-5_2(3-18)Online publication date: 2-May-2011
https://dl.acm.org/doi/10.1007/978-3-642-27216-5_2

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