Towards a domain-independent method for evaluating and scoring analogical inferences

Joseph A. Blass, Irina Rabkina, Kenneth D Forbus

Research output: Contribution to journalConference article

Abstract

This paper proposes a domain-independent method to evaluate inferences for analogical reasoning, via a prototype system. The system assigns analogical inferences confidences based on the quality of the mapping and the system's confidence in the facts used to generate the inference. An initial implementation is applied to two domains.

Keywords

  • Analogical reasoning
  • Confidence
  • Inference evaluation

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

@article{616580773000464b9a2ff98d3e89ed40,
title = "Towards a domain-independent method for evaluating and scoring analogical inferences",
abstract = "This paper proposes a domain-independent method to evaluate inferences for analogical reasoning, via a prototype system. The system assigns analogical inferences confidences based on the quality of the mapping and the system's confidence in the facts used to generate the inference. An initial implementation is applied to two domains.",
keywords = "Analogical reasoning, Confidence, Inference evaluation",
author = "Blass, {Joseph A.} and Irina Rabkina and Forbus, {Kenneth D}",
year = "2017",
month = "1",
day = "1",
language = "English (US)",
volume = "2028",
pages = "43--52",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",

}

Towards a domain-independent method for evaluating and scoring analogical inferences. / Blass, Joseph A.; Rabkina, Irina; Forbus, Kenneth D.

In: CEUR Workshop Proceedings, Vol. 2028, 01.01.2017, p. 43-52.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Towards a domain-independent method for evaluating and scoring analogical inferences

AU - Blass, Joseph A.

AU - Rabkina, Irina

AU - Forbus, Kenneth D

PY - 2017/1/1

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AB - This paper proposes a domain-independent method to evaluate inferences for analogical reasoning, via a prototype system. The system assigns analogical inferences confidences based on the quality of the mapping and the system's confidence in the facts used to generate the inference. An initial implementation is applied to two domains.

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KW - Confidence

KW - Inference evaluation

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M3 - Conference article

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JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

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