Cargando…
Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing
To understand animal wellbeing, we need to consider subjective phenomena and sentience. This is challenging, since these properties are private and cannot be observed directly. Certain motivations, emotions and related internal states can be inferred in animals through experiments that involve choic...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813262/ https://www.ncbi.nlm.nih.gov/pubmed/33489298 http://dx.doi.org/10.1098/rsos.201886 |
_version_ | 1783637822175969280 |
---|---|
author | Budaev, Sergey Kristiansen, Tore S. Giske, Jarl Eliassen, Sigrunn |
author_facet | Budaev, Sergey Kristiansen, Tore S. Giske, Jarl Eliassen, Sigrunn |
author_sort | Budaev, Sergey |
collection | PubMed |
description | To understand animal wellbeing, we need to consider subjective phenomena and sentience. This is challenging, since these properties are private and cannot be observed directly. Certain motivations, emotions and related internal states can be inferred in animals through experiments that involve choice, learning, generalization and decision-making. Yet, even though there is significant progress in elucidating the neurobiology of human consciousness, animal consciousness is still a mystery. We propose that computational animal welfare science emerges at the intersection of animal behaviour, welfare and computational cognition. By using ideas from cognitive science, we develop a functional and generic definition of subjective phenomena as any process or state of the organism that exists from the first-person perspective and cannot be isolated from the animal subject. We then outline a general cognitive architecture to model simple forms of subjective processes and sentience. This includes evolutionary adaptation which contains top-down attention modulation, predictive processing and subjective simulation by re-entrant (recursive) computations. Thereafter, we show how this approach uses major characteristics of the subjective experience: elementary self-awareness, global workspace and qualia with unity and continuity. This provides a formal framework for process-based modelling of animal needs, subjective states, sentience and wellbeing. |
format | Online Article Text |
id | pubmed-7813262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-78132622021-01-21 Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing Budaev, Sergey Kristiansen, Tore S. Giske, Jarl Eliassen, Sigrunn R Soc Open Sci Psychology and Cognitive Neuroscience To understand animal wellbeing, we need to consider subjective phenomena and sentience. This is challenging, since these properties are private and cannot be observed directly. Certain motivations, emotions and related internal states can be inferred in animals through experiments that involve choice, learning, generalization and decision-making. Yet, even though there is significant progress in elucidating the neurobiology of human consciousness, animal consciousness is still a mystery. We propose that computational animal welfare science emerges at the intersection of animal behaviour, welfare and computational cognition. By using ideas from cognitive science, we develop a functional and generic definition of subjective phenomena as any process or state of the organism that exists from the first-person perspective and cannot be isolated from the animal subject. We then outline a general cognitive architecture to model simple forms of subjective processes and sentience. This includes evolutionary adaptation which contains top-down attention modulation, predictive processing and subjective simulation by re-entrant (recursive) computations. Thereafter, we show how this approach uses major characteristics of the subjective experience: elementary self-awareness, global workspace and qualia with unity and continuity. This provides a formal framework for process-based modelling of animal needs, subjective states, sentience and wellbeing. The Royal Society 2020-12-23 /pmc/articles/PMC7813262/ /pubmed/33489298 http://dx.doi.org/10.1098/rsos.201886 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Psychology and Cognitive Neuroscience Budaev, Sergey Kristiansen, Tore S. Giske, Jarl Eliassen, Sigrunn Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing |
title | Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing |
title_full | Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing |
title_fullStr | Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing |
title_full_unstemmed | Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing |
title_short | Computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing |
title_sort | computational animal welfare: towards cognitive architecture models of animal sentience, emotion and wellbeing |
topic | Psychology and Cognitive Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7813262/ https://www.ncbi.nlm.nih.gov/pubmed/33489298 http://dx.doi.org/10.1098/rsos.201886 |
work_keys_str_mv | AT budaevsergey computationalanimalwelfaretowardscognitivearchitecturemodelsofanimalsentienceemotionandwellbeing AT kristiansentores computationalanimalwelfaretowardscognitivearchitecturemodelsofanimalsentienceemotionandwellbeing AT giskejarl computationalanimalwelfaretowardscognitivearchitecturemodelsofanimalsentienceemotionandwellbeing AT eliassensigrunn computationalanimalwelfaretowardscognitivearchitecturemodelsofanimalsentienceemotionandwellbeing |