A dynamical systems approach to causation

被引:1
|
作者
Fazekas, Peter [1 ,2 ]
Gyenis, Balazs [3 ,4 ]
Hofer-Szabo, Gabor [4 ]
Kertesz, Gergely [5 ]
机构
[1] Univ Antwerp, Ctr Philosoph Psychol, Antwerp, Belgium
[2] Aarhus Univ, Ctr Funct Integrat Neurosci, Aarhus, Denmark
[3] LSE, Dept Philosophy Log & Sci Method, London, England
[4] Hungarian Acad Sci, Inst Philosophy, Budapest, Hungary
[5] Univ Durham, Dept Philosophy, Durham, England
基金
匈牙利科学研究基金会;
关键词
Causation; Physical causation; folk causation; dynamical systems; State space; Time evolution;
D O I
10.1007/s11229-019-02451-y
中图分类号
N09 [自然科学史]; B [哲学、宗教];
学科分类号
01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;
摘要
Our approach aims at accounting for causal claims in terms of how the physical states of the underlying dynamical system evolve with time. Causal claims assert connections between two sets of physicals states-their truth depends on whether the two sets in question are genuinely connected by time evolution such that physical states from one set evolve with time into the states of the other set. We demonstrate the virtues of our approach by showing how it is able to account for typical causes, causally relevant factors, being 'the' cause, and cases of overdetermination and causation by absences.
引用
收藏
页码:6065 / 6087
页数:23
相关论文
共 50 条
  • [1] A dynamical systems approach to causation
    Peter Fazekas
    Balázs Gyenis
    Gábor Hofer-Szabó
    Gergely Kertész
    [J]. Synthese, 2021, 198 : 6065 - 6087
  • [2] Dynamical systems theory as an approach to mental causation
    Van De Laar T.
    [J]. Journal for General Philosophy of Science, 2006, 37 (2) : 307 - 332
  • [3] Can dynamical systems explain mental causation?
    Ellis, RD
    [J]. JOURNAL OF MIND AND BEHAVIOR, 2001, 22 (03): : 311 - 334
  • [4] Causation entropy from symbolic representations of dynamical systems
    Cafaro, Carlo
    Lord, Warren M.
    Sun, Jie
    Bollt, Erik M.
    [J]. CHAOS, 2015, 25 (04)
  • [5] Dynamical Modeling as a Tool for Inferring Causation
    Ackley, Sarah F.
    Lessler, Justin
    Glymour, M. Maria
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2022, 191 (01) : 1 - 6
  • [6] CEBoosting: Online sparse identification of dynamical systems with regime switching by causation entropy boosting
    Chen, Chuanqi
    Chen, Nan
    Wu, Jin-Long
    [J]. CHAOS, 2023, 33 (08)
  • [7] Introduction to Focus Issue: Causation inference and information flow in dynamical systems: Theory and applications
    Bollt, Erik M.
    Sun, Jie
    Runge, Jakob
    [J]. CHAOS, 2018, 28 (07)
  • [8] Dynamical Systems Approach to Endothelial Heterogeneity
    Regan, Erzsebet Ravasz
    Aird, William C.
    [J]. CIRCULATION RESEARCH, 2012, 111 (01) : 110 - 130
  • [9] A subspace approach to linear dynamical systems
    Narayanan, H.
    Priyadarshan, H.
    [J]. LINEAR ALGEBRA AND ITS APPLICATIONS, 2013, 438 (09) : 3576 - 3599
  • [10] A dynamical systems approach to cryptocurrency stability
    Caginalp, Carey
    [J]. AIMS MATHEMATICS, 2019, 4 (04): : 1065 - 1077