Raggi, Daniel, Stapleton, Gem, Jamnik, Mateja, Stockdill, Aaron, Garcia Garcia, Grecia and Cheng, Peter C H (2022) Oruga: an avatar of representational systems theory. HLC 2022 Human-Like Computing Workshop 2022, Windsor, UK, September 28th-30th 2022. Published in: CEUR Workshop Proceedings. 3227 1-5. CEUR Workshop Proceedings ISSN 1613-0073

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Abstract

Humans 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.

Item Type:	Conference Proceedings
Schools and Departments:	School of Engineering and Informatics > Informatics
SWORD Depositor:	Mx Elements Account
Depositing User:	Mx Elements Account
Date Deposited:	14 Nov 2022 11:34
Last Modified:	15 Nov 2022 09:52
URI:	http://sro.sussex.ac.uk/id/eprint/109056

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