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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 43-52 |
| Number of pages | 10 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2028 |
| State | Published - 2017 |
| Event | 2017 ICCBR Workshops on Computational Analogy and Case-Based Reasoning, CAW 2017, Case-Based Reasoning and Deep Learning, CBRDL 2017 and Process-Oriented Case-Based Reasoning, POCBR 2017, Doctoral Consortium, and Competitions, ICCBR-WS 2017 - Trondheim, Norway Duration: Jun 26 2017 → Jun 28 2017 |
Funding
This research was supported by the Socio-Cognitive Architectures for Adaptable Autonomous Systems Program of the Office of Naval Research, N00014-13-1-0470.
Keywords
- Analogical reasoning
- Confidence
- Inference evaluation
ASJC Scopus subject areas
- General Computer Science