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Reasoning with Expectations About Causal Relations

Gärdenfors, Peter LU (2022) In Studies in Logic, Grammar and Rhetoric 67(3). p.201-217
Abstract

Reasoning is not just following logical rules, but a large part of human reasoning depends on our expectations about the world. To some extent, non-monotonic logic has been developed to account for the role of expectations. In this article, the focus is on expectations based on actions and their consequences. The analysis is based on a two-vector model of events where an event is represented in terms of two main components - the force of an action that drives the event, and the result of its application. Actions are modelled in terms of the force domain and the results are modelled with the aid of different domains for locations or properties of objects. As a consequence, the assumption that reasoning about causal relations should be... (More)

Reasoning is not just following logical rules, but a large part of human reasoning depends on our expectations about the world. To some extent, non-monotonic logic has been developed to account for the role of expectations. In this article, the focus is on expectations based on actions and their consequences. The analysis is based on a two-vector model of events where an event is represented in terms of two main components - the force of an action that drives the event, and the result of its application. Actions are modelled in terms of the force domain and the results are modelled with the aid of different domains for locations or properties of objects. As a consequence, the assumption that reasoning about causal relations should be made in terms of propositional structures becomes very unnatural. Instead, the reasoning will be based on the geometric and topological properties of causes and effects modelled in conceptual spaces.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
action modelling, causal relations, conceptual spaces, event cognition, expectations, non-monotonic logic, reasoning
in
Studies in Logic, Grammar and Rhetoric
volume
67
issue
3
pages
17 pages
publisher
University of Bialystok
external identifiers
  • scopus:85146252819
ISSN
0860-150X
DOI
10.2478/slgr-2022-0011
language
English
LU publication?
yes
id
91684f38-1c85-414f-a55a-c35820d9de0e
date added to LUP
2023-02-15 15:50:14
date last changed
2023-02-15 17:01:30
@article{91684f38-1c85-414f-a55a-c35820d9de0e,
  abstract     = {{<p>Reasoning is not just following logical rules, but a large part of human reasoning depends on our expectations about the world. To some extent, non-monotonic logic has been developed to account for the role of expectations. In this article, the focus is on expectations based on actions and their consequences. The analysis is based on a two-vector model of events where an event is represented in terms of two main components - the force of an action that drives the event, and the result of its application. Actions are modelled in terms of the force domain and the results are modelled with the aid of different domains for locations or properties of objects. As a consequence, the assumption that reasoning about causal relations should be made in terms of propositional structures becomes very unnatural. Instead, the reasoning will be based on the geometric and topological properties of causes and effects modelled in conceptual spaces.</p>}},
  author       = {{Gärdenfors, Peter}},
  issn         = {{0860-150X}},
  keywords     = {{action modelling; causal relations; conceptual spaces; event cognition; expectations; non-monotonic logic; reasoning}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{201--217}},
  publisher    = {{University of Bialystok}},
  series       = {{Studies in Logic, Grammar and Rhetoric}},
  title        = {{Reasoning with Expectations About Causal Relations}},
  url          = {{http://dx.doi.org/10.2478/slgr-2022-0011}},
  doi          = {{10.2478/slgr-2022-0011}},
  volume       = {{67}},
  year         = {{2022}},
}