HCL Raggi oruga 2022.pdf (479.43 kB)
Oruga: an avatar of representational systems theory
conference contribution
posted on 2023-06-10, 05:28 authored by Daniel Raggi, Gem Stapleton, Mateja Jamnik, Aaron Stockdill, Grecia Garcia GarciaGrecia Garcia Garcia, Peter ChengPeter ChengHumans use representations flexibly. We draw diagrams, change representations and exploit creative analogies across different domains. We want to harness this kind of power and endow machines with it to make them more compatible with human use. Previously we developed Representational Systems Theory (RST) to study the structure and transformations of representations [1, 2]. In this paper we present Oruga (caterpillar in Spanish; a symbol of transformation), an implementation of various aspects of RST. Oruga consists of a core of data structures corresponding to concepts in RST, a language for communicating with the core, and an engine for producing transformations using a method we call structure transfer. In this paper we present an overview of the core and language of Oruga, with a brief example of the kind of transformation that structure transfer can execute.
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- Published
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- Published version
Journal
CEUR Workshop ProceedingsISSN
1613-0073Publisher
CEUR Workshop ProceedingsPublisher URL
Volume
3227Page range
1-5Event name
HLC 2022 Human-Like Computing Workshop 2022Event location
Windsor, UKEvent type
conferenceEvent date
September 28th-30th 2022Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-11-14First Open Access (FOA) Date
2022-11-14First Compliant Deposit (FCD) Date
2022-11-14Usage metrics
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