How to use fitness landscape models for the analysis of collective decision-making: a case of theory-transfer and its limitations

被引:0
|
作者
Peter Marks
Lasse Gerrits
Johannes Marx
机构
[1] Erasmus University Rotterdam,Department of Public Administration and Sociology
[2] Otto-Friedrich University,undefined
来源
Biology & Philosophy | 2019年 / 34卷
关键词
Knowledge transfer; Fitness landscapes; Collective decision-making;
D O I
暂无
中图分类号
学科分类号
摘要
There is considerable correspondence between theories and models used in biology and the social sciences. One type of model that is in use in both biology and the social sciences is the fitness landscape model. The properties of the fitness landscape model have been applied rather freely in the social domain. This is partly due to the versatility of the model, but it is also due to the difficulties of transferring a model to another domain. We will demonstrate that in order to transfer the biological fitness landscape model to the social science it needs to be substantially modified. We argue that the syntactic structure of the model can remain unaltered, whilst the semantic dimension requires considerable modification in order to fit the specific phenomena in the social sciences. We will first discuss the origin as well as the basic properties of the model. Subsequently, we will demonstrate the considerations and modifications pertaining to such a transfer by showing how and why we altered the model to analyse collective decision-making processes. We will demonstrate that the properties of the target domain allow for a transfer of the syntactic structure but don’t tolerate the semantic transfer.
引用
收藏
相关论文
共 50 条
  • [1] How to use fitness landscape models for the analysis of collective decision-making: a case of theory-transfer and its limitations
    Marks, Peter
    Gerrits, Lasse
    Marx, Johannes
    BIOLOGY & PHILOSOPHY, 2019, 34 (01)
  • [2] Models that learn how humans learn: The case of decision-making and its disorders
    Dezfouli, Amir
    Griffiths, Kristi
    Ramos, Fabio
    Dayan, Peter
    Balleine, Bernard W.
    PLOS COMPUTATIONAL BIOLOGY, 2019, 15 (06)
  • [3] Models that learn how humans learn: The case of decision-making and its disorders
    Dezfouli, Amir
    Griffiths, Kristi
    Ramos, Fabio
    Dayan, Peter
    Balleine, Bernard W.
    PLoS Computational Biology, 2019, 15 (06):
  • [4] The Impact of Interaction Models on the Coherence of Collective Decision-Making: A Case Study with Simulated Locusts
    Khaluf, Yara
    Rausch, Ilja
    Simoens, Pieter
    SWARM INTELLIGENCE (ANTS 2018), 2018, 11172 : 252 - 263
  • [5] How rule directions influence actors to achieve collective action: an analysis of Dutch collective infrastructure decision-making
    Neef, Robin
    Busscher, Tim
    Verweij, Stefan
    Arts, Jos
    EUROPEAN PLANNING STUDIES, 2023, 31 (08) : 1612 - 1633
  • [6] Decision-making factors influencing land use transformation and its implication on forest landscape restoration in Ethiopia
    Eshetu, Shibire Bekele
    Sieber, Stefan
    Lana, Marcos
    Loehr, Katharina
    JOURNAL OF LAND USE SCIENCE, 2024, 19 (01) : 211 - 229
  • [7] Arrow’s impossibility theorem as a special case of Nash equilibrium: a cognitive approach to the theory of collective decision-making
    Bucciarelli E.
    Oliva A.
    Mind & Society, 2020, 19 (1) : 15 - 41
  • [8] Shared Decision-Making Models Acknowledging an Interprofessional Approach: A Theory Analysis to Inform Nursing Practice
    Lewis, Krystina B.
    Stacey, Dawn
    Squires, Janet E.
    Carroll, Sandra
    RESEARCH AND THEORY FOR NURSING PRACTICE, 2016, 30 (01) : 26 - 43
  • [9] Evaluative Criteria to Create and Assess Case Studies for Use in Ethical Decision-Making Analysis
    Gibson, Pamela A.
    JOURNAL OF PUBLIC AFFAIRS EDUCATION, 2008, 14 (03) : 297 - 309
  • [10] MORE ON CONTINGENCY TABLE ANALYSIS, DECISION-MAKING CRITERIA, AND USE OF LOG LINEAR-MODELS
    CLARK, GA
    AMERICAN ANTIQUITY, 1976, 41 (03) : 259 - 273