Professor Susan Craw s.craw@rgu.ac.uk
Emeritus Professor
Case based reasoning as a model for cognitive artificial intelligence.
Craw, Susan; Aamodt, Agnar
Authors
Agnar Aamodt
Contributors
Michael T. Cox
Editor
Peter Funk
Editor
Shahina Begum
Editor
Abstract
Cognitive Systems understand the world through learning and experience. Case Based Reasoning (CBR) systems naturally capture knowledge as experiences in memory and they are able to learn new experiences to retain in their memory. CBR's retrieve and reuse reasoning is also knowledge-rich because of its nearest neighbour retrieval and analogy-based adaptation of retrieved solutions. CBR is particularly suited to domains where there is no well-defined theory, because they have a memory of experiences of what happened, rather than why/how it happened. CBR's assumption that 'similar problems have similar solutions' enables it to understand the contexts for its experiences and the 'bigger picture' from clusters of cases, but also where its similarity assumption is challenged. Here we explore cognition and meta-cognition for CBR through self-refl ection and introspection of both memory and retrieve and reuse reasoning. Our idea is to embed and exploit cognitive functionality such as insight, intuition and curiosity within CBR to drive robust, and even explainable, intelligence that will achieve problemsolving in challenging, complex, dynamic domains.
Citation
CRAW, S. and AAMODT, A. 2018. Case based reasoning as a model for cognitive artificial intelligence. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 62-77. Available from: https://doi.org/10.1007/978-3-030-01081-2_5
Conference Name | 26th International conference on case-based reasoning (ICCBR 2018) |
---|---|
Conference Location | Stockholm, Sweden |
Start Date | Jul 9, 2018 |
End Date | Jul 12, 2018 |
Acceptance Date | May 21, 2018 |
Online Publication Date | Oct 9, 2018 |
Publication Date | Nov 8, 2018 |
Deposit Date | Jun 19, 2018 |
Publicly Available Date | Oct 10, 2019 |
Print ISSN | 0302-9743 |
Electronic ISSN | 1611-3349 |
Publisher | Springer |
Pages | 62-77 |
Series Title | Lecture notes in computer science |
Series Number | 11156 |
Series ISSN | 1611-3349 |
ISBN | 9783030010805 |
DOI | https://doi.org/10.1007/978-3-030-01081-2_5 |
Keywords | Cognitive systems; CBR; Memory; Self-reflection |
Public URL | http://hdl.handle.net/10059/2955 |
Files
CRAW 2018 Case based reasoning
(1.2 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc/4.0/
You might also like
Visualisation to explain personal health trends in smart homes.
(2021)
Presentation / Conference
Wifi-based human activity recognition using Raspberry Pi.
(2020)
Conference Proceeding
Representing temporal dependencies in smart home activity recognition for health monitoring.
(2020)
Conference Proceeding
Fall prediction using behavioural modelling from sensor data in smart homes.
(2019)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search