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How to (re)represent it?
conference contribution
posted on 2023-06-10, 01:01 authored by Daniel Raggi, Gem Stapleton, Aaron Stockdill, Mateja Jamnik, Grecia Garcia GarciaGrecia Garcia Garcia, Peter ChengPeter ChengChoosing an effective representation is fundamental to the ability of the representation's user to exploit it for the intended purpose. The major contribution of this paper is to provide a novel, flexible framework, rep2rep, that can be used by AI systems to recommend effective representations. What makes an effective representation is determined by whether it expresses the necessary information, supports the execution of tasks, and reflects the user's cognitive abilities. In general, there is no single 'most effective' representation for every problem and every user, which makes it difficult to choose one from the plethora of possible representations. To address this, rep2rep includes: A domain-independent language for describing representations, algorithms that compute measures of informational suitability and overall cognitive cost, and uses these measures to recommend representations. We demonstrate the application of rep2rep in the probability domain. Importantly, our framework provides the foundations for personalised interaction with AI systems in the context of representation choice.
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of the International Conference on Tools with Artificial Intelligence, ICTAIISSN
1082-3409Publisher
IEEEExternal DOI
Page range
1224-1232Event name
International Conference on Tools for Artificial Intelligence (ICTAI)Event location
VirtualEvent type
conferenceEvent date
9-11 November 2020ISBN
9781728192284Department affiliated with
- Informatics Publications
Notes
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksFull text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2021-09-20First Open Access (FOA) Date
2021-09-20First Compliant Deposit (FCD) Date
2021-09-20Usage metrics
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