Similarity Orders from Causal Equations
| Authors | |
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| Publication date | 2014 |
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| Book title | Logics in Artificial Intelligence |
| Book subtitle | 14th European Conference, JELIA 2014, Funchal, Madeira, Portugal, September 24-26, 2014 : proceedings |
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| ISBN (electronic) |
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| Series | Lecture Notes in Computer Science |
| Event | JELIA 2014 (14th European Conference on Logics in Artificial Intelligence) |
| Pages (from-to) | 500-513 |
| Publisher | Cham: Springer |
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| Abstract |
The purpose of this paper is to demonstrate that, contrary to the received wisdom, causal reasoning can be formalized wholly within the framework of Lewis’ conditional logic. To this aim we simulate causal reasoning based on structural equations in Lewis’ order semantics. This reduction is based on a formalization of an intuitive idea for computing relative similarity between worlds. Worlds are the more similar the more they satisfy the same relevant propositions, where relevance is a comparative notion represented by a preorder. In the context of causal reasoning this relevance order on propositions depends on the causal structure of the problem domain.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-319-11558-0_35 |
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