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dc.contributor.authorBudaev, Sergei
dc.contributor.authorKristiansen, Tore S
dc.contributor.authorGiske, Jarl
dc.contributor.authorEliassen, Sigrunn
dc.date.accessioned2021-01-14T09:28:11Z
dc.date.available2021-01-14T09:28:11Z
dc.date.created2020-12-26T08:20:43Z
dc.date.issued2020
dc.identifier.citationRoyal Society Open Science. 2020, 7 (12), .en_US
dc.identifier.issn2054-5703
dc.identifier.urihttps://hdl.handle.net/11250/2722939
dc.description.abstractTo 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.en_US
dc.language.isoengen_US
dc.titleComputational animal welfare: Towards cognitive architecture models of animal sentience, emotion and wellbeingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber17en_US
dc.source.volume7en_US
dc.source.journalRoyal Society Open Scienceen_US
dc.source.issue12en_US
dc.identifier.doi10.1098/rsos.201886
dc.identifier.cristin1863247
dc.relation.projectNorges forskningsråd: 239834en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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