How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network

An artificial neural network called reaCog is described which is based on a decentralized, reactive and embodied architecture to control non-trivial hexapod walking in unpredictable environment (Walknet) as well as insect-like navigation (Navinet). In reaCog, these basic networks are extended in suc...

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Main Authors: Holk eCruse, Malte eSchilling
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-06-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00324/full
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spelling doaj-66418b1157a94d75a4eca3a6bd5afd102020-11-24T22:29:54ZengFrontiers Media S.A.Frontiers in Psychology1664-10782013-06-01410.3389/fpsyg.2013.0032452013How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural networkHolk eCruse0Malte eSchilling1Bielefeld UniversityBielefeld UniversityAn artificial neural network called reaCog is described which is based on a decentralized, reactive and embodied architecture to control non-trivial hexapod walking in unpredictable environment (Walknet) as well as insect-like navigation (Navinet). In reaCog, these basic networks are extended in such a way that the complete system, reaCog, adopts the capability of inventing new behaviors and - via internal simulation - of planning ahead. This cognitive expansion enables the reactive system to be enriched with additional procedures. Here, we focus on the question to what extent properties of phenomena to be characterized on a different level of description as for example consciousness can be found in this minimally cognitive system. Adopting a monist view, we argue that the phenomenal aspect of mental phenomena can be neglected when discussing the function of such a system. Under this condition, reaCog is discussed to be equipped with properties as are bottom-up and top-down attention, intentions, volition and some aspects of Access Consciousness. These properties have not been explicitly implemented but emerge from the cooperation between the elements of the network. The aspects of access consciousness found in reaCog concern the above mentioned ability to plan ahead and to invent and guide (new) actions. Furthermore, global accessibility of memory elements, another aspect characterizing Access Consciousness is realized by this network. reaCog allows for both reactive/automatic control and (access-) conscious control of behavior. We discuss examples for interactions between both the reactive domain and the conscious domain. Metacognition or Reflexive Consciousness is not a property of reaCog. Possible expansions are discussed to allow for further properties of Access Consciousness, verbal report on internal states, and for Metacognition. In summary, we argue that already simple networks allow for properties of consciousness if leaving the phenomenal aspect aside.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00324/fullConsciousnessrecurrent neural networkembodimentmotor controlInternal Body ModelMinimal Cognitive System
collection DOAJ
language English
format Article
sources DOAJ
author Holk eCruse
Malte eSchilling
spellingShingle Holk eCruse
Malte eSchilling
How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
Frontiers in Psychology
Consciousness
recurrent neural network
embodiment
motor control
Internal Body Model
Minimal Cognitive System
author_facet Holk eCruse
Malte eSchilling
author_sort Holk eCruse
title How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
title_short How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
title_full How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
title_fullStr How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
title_full_unstemmed How and to what end may consciousness contribute to action? Attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
title_sort how and to what end may consciousness contribute to action? attributing properties of consciousness to an embodied, minimally cognitive artificial neural network
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2013-06-01
description An artificial neural network called reaCog is described which is based on a decentralized, reactive and embodied architecture to control non-trivial hexapod walking in unpredictable environment (Walknet) as well as insect-like navigation (Navinet). In reaCog, these basic networks are extended in such a way that the complete system, reaCog, adopts the capability of inventing new behaviors and - via internal simulation - of planning ahead. This cognitive expansion enables the reactive system to be enriched with additional procedures. Here, we focus on the question to what extent properties of phenomena to be characterized on a different level of description as for example consciousness can be found in this minimally cognitive system. Adopting a monist view, we argue that the phenomenal aspect of mental phenomena can be neglected when discussing the function of such a system. Under this condition, reaCog is discussed to be equipped with properties as are bottom-up and top-down attention, intentions, volition and some aspects of Access Consciousness. These properties have not been explicitly implemented but emerge from the cooperation between the elements of the network. The aspects of access consciousness found in reaCog concern the above mentioned ability to plan ahead and to invent and guide (new) actions. Furthermore, global accessibility of memory elements, another aspect characterizing Access Consciousness is realized by this network. reaCog allows for both reactive/automatic control and (access-) conscious control of behavior. We discuss examples for interactions between both the reactive domain and the conscious domain. Metacognition or Reflexive Consciousness is not a property of reaCog. Possible expansions are discussed to allow for further properties of Access Consciousness, verbal report on internal states, and for Metacognition. In summary, we argue that already simple networks allow for properties of consciousness if leaving the phenomenal aspect aside.
topic Consciousness
recurrent neural network
embodiment
motor control
Internal Body Model
Minimal Cognitive System
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00324/full
work_keys_str_mv AT holkecruse howandtowhatendmayconsciousnesscontributetoactionattributingpropertiesofconsciousnesstoanembodiedminimallycognitiveartificialneuralnetwork
AT malteeschilling howandtowhatendmayconsciousnesscontributetoactionattributingpropertiesofconsciousnesstoanembodiedminimallycognitiveartificialneuralnetwork
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