Modelling Prior and Retrospective Awareness of Actions

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Agents often may prepare for and perform actions without being conscious of these processes. However, in other cases, at some point in time the agent can develop some awareness state relating to the action. This can be an awareness state prior to the execution of the action. An awareness state can also develop in retrospect, after the action was performed. In this paper a neurologically inspired agent model is introduced that is able to make such distinctions. Scenarios are covered in which actions are prepared without being conscious at any point in time. Also scenarios are covered in which the agent develops proir awareness or retrospective awareness, or both. When prior awareness is developed it may be the case that this awareness has a decisive effect on actually executing the action, but it may equally well be the case that the awareness state has no effect on whether the action is performed. All these variations have been illustrated by a wide variety of simulation experiments. © 2013 Springer-Verlag.
Original languageEnglish
Pages (from-to)62-73
JournalLecture Notes in Computer Science
Volume7930
DOIs
Publication statusPublished - 2013
EventFifth International Work-Conference on the Interplay between Natural and Artificial Computation - Mallorca, Spain
Duration: 10 Jun 201314 Jun 2013

Fingerprint

Modeling
Scenarios
Awareness
Experiments
Simulation Experiment
Model

Bibliographical note

Proceedings title: Natural and Artificial Models in Computation and Biology: 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, Part I.
Publisher: Springer Berlin Heidelberg
Place of publication: Mallorca, Spain
ISBN: 978-3-642-38636-7
Editors: J.M. Ferrandez Vicente, J.R. Alvarez Sanchez, F. de la Paz Lopez, F.J. Toledo Moreo

Cite this

@article{f5f0c8eba6604ed4bbd18426cfbca042,
title = "Modelling Prior and Retrospective Awareness of Actions",
abstract = "Agents often may prepare for and perform actions without being conscious of these processes. However, in other cases, at some point in time the agent can develop some awareness state relating to the action. This can be an awareness state prior to the execution of the action. An awareness state can also develop in retrospect, after the action was performed. In this paper a neurologically inspired agent model is introduced that is able to make such distinctions. Scenarios are covered in which actions are prepared without being conscious at any point in time. Also scenarios are covered in which the agent develops proir awareness or retrospective awareness, or both. When prior awareness is developed it may be the case that this awareness has a decisive effect on actually executing the action, but it may equally well be the case that the awareness state has no effect on whether the action is performed. All these variations have been illustrated by a wide variety of simulation experiments. {\circledC} 2013 Springer-Verlag.",
author = "D.J. Thilakarathne and J. Treur",
note = "Proceedings title: Natural and Artificial Models in Computation and Biology: 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, Part I. Publisher: Springer Berlin Heidelberg Place of publication: Mallorca, Spain ISBN: 978-3-642-38636-7 Editors: J.M. Ferrandez Vicente, J.R. Alvarez Sanchez, F. de la Paz Lopez, F.J. Toledo Moreo",
year = "2013",
doi = "10.1007/978-3-642-38637-4_7",
language = "English",
volume = "7930",
pages = "62--73",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",

}

Modelling Prior and Retrospective Awareness of Actions. / Thilakarathne, D.J.; Treur, J.

In: Lecture Notes in Computer Science, Vol. 7930, 2013, p. 62-73.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Modelling Prior and Retrospective Awareness of Actions

AU - Thilakarathne, D.J.

AU - Treur, J.

N1 - Proceedings title: Natural and Artificial Models in Computation and Biology: 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, Part I. Publisher: Springer Berlin Heidelberg Place of publication: Mallorca, Spain ISBN: 978-3-642-38636-7 Editors: J.M. Ferrandez Vicente, J.R. Alvarez Sanchez, F. de la Paz Lopez, F.J. Toledo Moreo

PY - 2013

Y1 - 2013

N2 - Agents often may prepare for and perform actions without being conscious of these processes. However, in other cases, at some point in time the agent can develop some awareness state relating to the action. This can be an awareness state prior to the execution of the action. An awareness state can also develop in retrospect, after the action was performed. In this paper a neurologically inspired agent model is introduced that is able to make such distinctions. Scenarios are covered in which actions are prepared without being conscious at any point in time. Also scenarios are covered in which the agent develops proir awareness or retrospective awareness, or both. When prior awareness is developed it may be the case that this awareness has a decisive effect on actually executing the action, but it may equally well be the case that the awareness state has no effect on whether the action is performed. All these variations have been illustrated by a wide variety of simulation experiments. © 2013 Springer-Verlag.

AB - Agents often may prepare for and perform actions without being conscious of these processes. However, in other cases, at some point in time the agent can develop some awareness state relating to the action. This can be an awareness state prior to the execution of the action. An awareness state can also develop in retrospect, after the action was performed. In this paper a neurologically inspired agent model is introduced that is able to make such distinctions. Scenarios are covered in which actions are prepared without being conscious at any point in time. Also scenarios are covered in which the agent develops proir awareness or retrospective awareness, or both. When prior awareness is developed it may be the case that this awareness has a decisive effect on actually executing the action, but it may equally well be the case that the awareness state has no effect on whether the action is performed. All these variations have been illustrated by a wide variety of simulation experiments. © 2013 Springer-Verlag.

U2 - 10.1007/978-3-642-38637-4_7

DO - 10.1007/978-3-642-38637-4_7

M3 - Article

VL - 7930

SP - 62

EP - 73

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

ER -