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“Feature Detection” vs. “Predictive Coding” Models of Plant Behavior

In this article we consider the possibility that plants exhibit anticipatory behavior, a mark of intelligence. If plants are able to anticipate and respond accordingly to varying states of their surroundings, as opposed to merely responding online to environmental contingencies, then such capacity m...

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Autores principales: Calvo, Paco, Baluška, František, Sims, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047902/
https://www.ncbi.nlm.nih.gov/pubmed/27757094
http://dx.doi.org/10.3389/fpsyg.2016.01505
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author Calvo, Paco
Baluška, František
Sims, Andrew
author_facet Calvo, Paco
Baluška, František
Sims, Andrew
author_sort Calvo, Paco
collection PubMed
description In this article we consider the possibility that plants exhibit anticipatory behavior, a mark of intelligence. If plants are able to anticipate and respond accordingly to varying states of their surroundings, as opposed to merely responding online to environmental contingencies, then such capacity may be in principle testable, and subject to empirical scrutiny. Our main thesis is that adaptive behavior can only take place by way of a mechanism that predicts the environmental sources of sensory stimulation. We propose to test for anticipation in plants experimentally by contrasting two empirical hypotheses: “feature detection” and “predictive coding.” We spell out what these contrasting hypotheses consist of by way of illustration from the animal literature, and consider how to transfer the rationale involved to the plant literature.
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spelling pubmed-50479022016-10-18 “Feature Detection” vs. “Predictive Coding” Models of Plant Behavior Calvo, Paco Baluška, František Sims, Andrew Front Psychol Psychology In this article we consider the possibility that plants exhibit anticipatory behavior, a mark of intelligence. If plants are able to anticipate and respond accordingly to varying states of their surroundings, as opposed to merely responding online to environmental contingencies, then such capacity may be in principle testable, and subject to empirical scrutiny. Our main thesis is that adaptive behavior can only take place by way of a mechanism that predicts the environmental sources of sensory stimulation. We propose to test for anticipation in plants experimentally by contrasting two empirical hypotheses: “feature detection” and “predictive coding.” We spell out what these contrasting hypotheses consist of by way of illustration from the animal literature, and consider how to transfer the rationale involved to the plant literature. Frontiers Media S.A. 2016-10-04 /pmc/articles/PMC5047902/ /pubmed/27757094 http://dx.doi.org/10.3389/fpsyg.2016.01505 Text en Copyright © 2016 Calvo, Baluška and Sims. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Calvo, Paco
Baluška, František
Sims, Andrew
“Feature Detection” vs. “Predictive Coding” Models of Plant Behavior
title “Feature Detection” vs. “Predictive Coding” Models of Plant Behavior
title_full “Feature Detection” vs. “Predictive Coding” Models of Plant Behavior
title_fullStr “Feature Detection” vs. “Predictive Coding” Models of Plant Behavior
title_full_unstemmed “Feature Detection” vs. “Predictive Coding” Models of Plant Behavior
title_short “Feature Detection” vs. “Predictive Coding” Models of Plant Behavior
title_sort “feature detection” vs. “predictive coding” models of plant behavior
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047902/
https://www.ncbi.nlm.nih.gov/pubmed/27757094
http://dx.doi.org/10.3389/fpsyg.2016.01505
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