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Kawano T, Ushifusa Y, Mancuso S, Baluška F, Sylvain-Bonfanti L, Arbelet-Bonnin D, Bouteau F. Plants have two minds as we do. PLANT SIGNALING & BEHAVIOR 2025; 20:2474895. [PMID: 40070171 PMCID: PMC11913387 DOI: 10.1080/15592324.2025.2474895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Revised: 02/22/2025] [Accepted: 02/27/2025] [Indexed: 03/19/2025]
Abstract
This discussion paper carefully analyzes the cognition-related theories proposed for behavioral economics, to expand the concepts from human behaviors to those of plants. Behavioral economists analyze the roles of the intuitive sense and the rational thoughts affecting the human behavior, by employing the psychology-based models such as Two Minds theory (TMT) highlighting intuitive rapid thoughts (System 1) and rational slower thoughts (System 2) and Prospect theory (PT) with probability (p)-weighting functions explaining the human tendencies to overrate the low p events and to underrate the high p events. There are similarities between non-consciously processed System 1 (of TMT) and overweighing of low-p events (as in PT) and also, between the consciously processed System 2 (of TMT) and underrating of high-p events (as in PT). While most known p-weighting mathematical models employed single functions, we propose a pair of Hill-type functions reflecting the collective behaviors of two types of automata corresponding to intuition (System 1) and rationality (System 2), as a metaphor to the natural light processing in layered plant leaves. Then, the model was applied to two different TMT/PT-related behaviors, namely, preference reversal and habituation. Furthermore, we highlight the behaviors of plants through the above conceptual frameworks implying that plants behave as if they have Two Minds. Lastly, the possible evolutionary origins of the nature of Two Minds are discussed.
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Affiliation(s)
- Tomonori Kawano
- International Photosynthesis Industrialization Research Center, Faculty and Graduate School of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan
- Paris Interdisciplinary Energy Research Institute (PIERI), Paris, France
- University of Florence LINV Kitakyushu Research Center (LINV@Kitakyushu), Kitakyushu, Japan
- Advanced Photonics Technology Development Group, RIKEN Center for Advanced Photonics, Saitama, Japan
| | - Yoshiaki Ushifusa
- International Photosynthesis Industrialization Research Center, Faculty and Graduate School of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan
- Faculty of Economics and Business Administration, The University of Kitakyushu, Kitakyushu, Japan
- Université Paris-Cité, laboratoire dynamiques sociales et recomposition des espaces (LADYSS UMR 7533), Paris, France
| | - Stefano Mancuso
- International Photosynthesis Industrialization Research Center, Faculty and Graduate School of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan
- University of Florence LINV Kitakyushu Research Center (LINV@Kitakyushu), Kitakyushu, Japan
- LINV-DiSPAA, Department of Agri-Food and Environmental Science, University of Florence, Sesto Fiorentino, FI, Italy
| | - Frantisek Baluška
- Institute of Cellular and Molecular Botany, University of Bonn, Bonn, Germany
| | - Lucia Sylvain-Bonfanti
- Université Paris-Cité, laboratoire dynamiques sociales et recomposition des espaces (LADYSS UMR 7533), Paris, France
- Laboratoire Interdisciplinaire Des Énergies de Demain, Université de Paris-Cité, Paris, France
| | - Delphine Arbelet-Bonnin
- Laboratoire Interdisciplinaire Des Énergies de Demain, Université de Paris-Cité, Paris, France
| | - François Bouteau
- International Photosynthesis Industrialization Research Center, Faculty and Graduate School of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan
- Paris Interdisciplinary Energy Research Institute (PIERI), Paris, France
- University of Florence LINV Kitakyushu Research Center (LINV@Kitakyushu), Kitakyushu, Japan
- Laboratoire Interdisciplinaire Des Énergies de Demain, Université de Paris-Cité, Paris, France
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Xue J, Shandong Normal University East road of Wenhua, No.88, Jinan, Shandong 250014, China, Liu X, Sun W, Yan S. Discrete Morse Theory Based Dynamic P Systems. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2018. [DOI: 10.20965/jaciii.2018.p0104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This paper proposes a class of dynamic P systems with constraint of discrete Morse function (DMDP systems). Membrane structure is extended on complex. Rules control activities of membranes. New classes of rules and mechanism to change types of rules by discrete gradient vector field are provided as well.DMDP system extends P systems both in structures and rules. Solving air quality evaluation problem in linear time verifies the effectiveness ofDMDP systems. Since air quality evaluation problem has significance in many areas. The new P systems provide an alternative for traditional membrane computing.
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