PCE simulation toolkit: a platform for perceptual crossing experiment research
The Perceptual Crossing Experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand each other in real-time. In addition to human participant studies, a number of computational models have investigated how virtual agents can...
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| Published in | Frontiers in Neurorobotics Vol. 17; p. 1048817 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media SA
17.05.2023
Frontiers Research Foundation Frontiers Media S.A |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1662-5218 1662-5218 |
| DOI | 10.3389/fnbot.2023.1048817 |
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| Abstract | The Perceptual Crossing Experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand each other in real-time. In addition to human participant studies, a number of computational models have investigated how virtual agents can solve this task. However, the set of implementation choices that has been explored to date is rather limited, and the large number of variables that can be used make it very difficult to replicate the results. The main objective of this paper is to describe the PCE Simulation Toolkit we have developed and published as an open-source repository on GitHub. We hope that this effort will help make future PCE simulation results reproducible and advance research in the understanding of possible behaviors in this experimental paradigm. At the end of this paper, we present two case studies of evolved agents that demonstrate how parameter choices affect the simulations. |
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| AbstractList | The perceptual crossing experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand each other in real-time. In addition to human participant studies, a number of computational models have investigated how virtual agents can solve this task. However, the set of implementation choices that has been explored to date is rather limited, and the large number of variables that can be used make it very difficult to replicate the results. The main objective of this paper is to describe the PCE Simulation Toolkit we have developed and published as an open-source repository on GitHub. We hope that this effort will help make future PCE simulation results reproducible and advance research in the understanding of possible behaviors in this experimental paradigm. At the end of this paper, we present two case studies of evolved agents that demonstrate how parameter choices affect the simulations. The Perceptual Crossing Experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand each other in real-time. In addition to human participant studies, a number of computational models have investigated how virtual agents can solve this task. However, the set of implementation choices that has been explored to date is rather limited, and the large number of variables that can be used make it very difficult to replicate the results. The main objective of this paper is to describe the PCE Simulation Toolkit we have developed and published as an open-source repository on GitHub. We hope that this effort will help make future PCE simulation results reproducible and advance research in the understanding of possible behaviors in this experimental paradigm. At the end of this paper, we present two case studies of evolved agents that demonstrate how parameter choices affect the simulations.The Perceptual Crossing Experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand each other in real-time. In addition to human participant studies, a number of computational models have investigated how virtual agents can solve this task. However, the set of implementation choices that has been explored to date is rather limited, and the large number of variables that can be used make it very difficult to replicate the results. The main objective of this paper is to describe the PCE Simulation Toolkit we have developed and published as an open-source repository on GitHub. We hope that this effort will help make future PCE simulation results reproducible and advance research in the understanding of possible behaviors in this experimental paradigm. At the end of this paper, we present two case studies of evolved agents that demonstrate how parameter choices affect the simulations. |
| Author | Federico Sangati Rui Fukushima |
| AuthorAffiliation | 1 Cognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology , Okinawa , Japan 2 Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology , Okinawa , Japan |
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| BackLink | https://cir.nii.ac.jp/crid/1871428068112130176$$DView record in CiNii https://www.ncbi.nlm.nih.gov/pubmed/37265520$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1007/978-3-540-69134-1_6 10.1038/srep03672 10.3389/fnbot.2021.634085 10.1162/1064546041766442 10.1177/105971239500300405 10.1075/is.12.3.01len 10.3389/fnhum.2012.00098 10.1007/978-3-642-21283-3_53 10.1162/isal_a_00509 10.1080/09540090903197928 10.17454/pam-2109 10.1016/j.newideapsych.2007.12.002 10.1016/j.newideapsych.2007.07.006 10.3389/fnhum.2012.00181 |
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| Copyright | Copyright © 2023 Sangati and Fukushima. 2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2023 Sangati and Fukushima. 2023 Sangati and Fukushima |
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| Keywords | visualization tool for artificial life perceptual crossing experiment CTRNN simulation tool for artificial life evolutionary algorithm |
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| References | Lenay (B13) 2012 Reséndiz-Benhumea (B16) 2021 Froese (B6) 2010; 22 Froese (B5) 2008 Lenay (B14) 2010; 12 Zapata-Fonseca (B18) 2021 Izquierdo (B12) 2022 Auvray (B1) 2009; 27 Auvray (B2) 2012 Iizuka (B11) 2015 Froese (B7) 2011 Iizuka (B9) 2007 Beer (B3) 1995; 3 Murray (B15) 1985 Froese (B8) 2014 Iizuka (B10) 2004; 10 Di Paolo (B4) 2008; 26 Rohde (B17) 2006 |
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| Snippet | The Perceptual Crossing Experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand... The perceptual crossing experiment (PCE) has been the object of study for over a decade, and aims at explaining how we perceive, interact with, and understand... |
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| SubjectTerms | Case studies Cloning CTRNN evolutionary algorithm Experiments Human subjects Libraries Mathematical models Neuroscience Neurosciences. Biological psychiatry. Neuropsychiatry perceptual crossing experiment RC321-571 Sensors Simulation simulation tool for artificial life visualization tool for artificial life |
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| Title | PCE simulation toolkit: a platform for perceptual crossing experiment research |
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