Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy

Savin, Ivan; Creutzig, Felix; Filatova, Tatiana; Foramitti, Joël; Konc, Théo; Niamir, Leila; Safarzynska, Karolina; Bergh, Jeroen C.J.M. van den

doi:10.1002/wcc.811

Cited by 25 publications

(13 citation statements)

References 73 publications

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“…78 ABM are a type of computational models used to simulate the behavior of independent factors to extract the total results from the interaction of its constituent components. 79 Adding more variables and related parameters in each loop and in both parts (CM and AR) can create a more accurate model. For instance, affixing more variables and considering the effective variables on the repurchase, the variables affecting social and cultural factors in the customer's motivation category, or considering the variables affecting customer purchase experience in the customer contact points and so on can be investigated in future works.…”

Section: Discussion and Future Workmentioning

confidence: 99%

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Model design to investigate the role of augmented reality technology on contextual marketing: a system dynamics approach

Irani,

Karimi,

Shafiei

2024

SIMULATION

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In E-commerce, one of the most essential reasons of company failures is conveying the right content of their product to the customers at the wrong time. This could include the company inability to adapt to their environment dynamically. With the existence of special circumstances like COVID-19 pandemic, companies require launching new techs, if they are to grow and stay competitive, and since the technology and related factors have a major effect on marketing success, “Systems Dynamic” sounds like a suitable tool in this regard. This article discusses augmented reality (AR) roles in contextual marketing (CM) using a system dynamics approach. After the identification of the key variables in both augmented technology and CM fields, casual relationships are defined. Then, the mathematical functions between these variables are extracted and the behavior of each factor is analyzed. Finally, based on this behavioral model, various scenarios are simulated to demonstrate how augmented reality technology can enhance the CM.

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Section: Discussion and Future Workmentioning

confidence: 99%

“…78 ABM are a type of computational models used to simulate the behavior of independent factors to extract the total results from the interaction of its constituent components. 79…”

Section: Discussion and Future Workmentioning

confidence: 99%

Model design to investigate the role of augmented reality technology on contextual marketing: a system dynamics approach

Irani,

Karimi,

Shafiei

2024

SIMULATION

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“…Agent-based models (ABMs) are one useful tool for understanding how interacting heterogeneous agents embedded in social, biophysical, technological, and institutional contexts give rise to system-level patterns and behaviors (Savin et al, 2022; Tesfatsion, 2003). For example, ABMs coupled with general equilibrium models that capture macroscale institutions have been used to simulate the energy decisions of boundedly rational individuals (Niamir et al, 2018, 2020).…”

Section: Cognition In Complex Adaptive Systemsmentioning

confidence: 99%

“…institutional contexts give rise to system-level patterns and behaviors (Savin et al, 2022;Tesfatsion, 2003). For example, ABMs coupled with general equilibrium models that capture macroscale institutions have been used to simulate the energy decisions of boundedly rational individuals (Niamir et al, 2018(Niamir et al, , 2020.…”

Section: Micromentioning

confidence: 99%

Embedding Cognition: Judgment and Choice in an Interdependent and Dynamic World

Constantino

Schlüter

2023

Curr Dir Psychol Sci

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Society is facing pressing interrelated, multilevel, and systemic challenges. Human consumption patterns are driving biodiversity loss and climate change, with unevenly distributed impacts that exacerbate preexisting inequalities. Structural or systems-level solutions to these challenges depend on group- and individual-level change, and vice versa. Although cognitive psychology has advanced our understanding of individual and group-level decision-making, it rarely links these microlevel processes and behaviors to network- and systems-level structures, resulting in a fragmented theory of how individual and collective action can drive broader social change. For example, psychology has established that physical, social, and historical contexts shape perception, reasoning, and decision-making but has largely ignored the dynamic and interdependent relationship between behavior and contexts. In this review, we urge researchers to move beyond a focus on static contexts and individual and group-level cognition to incorporate deeper theorizing about the temporal dynamics and feedbacks between individuals and the broader contexts in which they are embedded. We review literature emphasizing the role of context in shaping psychological processes as well as emerging research that considers individuals as embedded in complex adaptive systems. Complex adaptive systems frameworks are well suited to study the dynamic and interdependent relationship among individuals and the broader systems and structures they inhabit. The integration of research in psychology with these perspectives may thus offer traction in identifying solution pathways to complex, multilevel challenges by pointing to theories and methods that integrate across levels of analysis and account for coupled nature-society systems.

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“…Explicitly, SD is focused on breaking the bigger problem into a smaller one—top–down information feedback method (Ding et al, 2018). ABM is focused on identifying the smallest problems to solve the bigger problem (bottom–up method) (Ding et al, 2018; Savin et al, 2022). In fact, ABM does not define the relationships or the global behaviour of a project, but the interaction between agents and environments (Hsu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Project management and system dynamics modelling: Time to connect with innovation and sustainability

et al. 2023

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This paper argues that there is a requirement to connect project management (PM) with innovation and sustainability to address new societal needs. Societal demands have facilitated further complexity and uncertainty within the PM discipline and have led to both theoretical and practical evolutions. Key evolutions are identified, which suggests that PM is becoming more holistic and interdisciplinary in nature so it can successfully deal with this complexity and uncertainty. Furthermore, holistic thinking naturally connects with systemic thinking, which justifies the selection of system dynamics (SD) to support PM decision‐making. An extensive critical review of SD modelling with respect to identified evolutions within the PM discipline is undertaken. The contribution of this paper connects innovation and sustainability to the PM discipline by the initial development of a causal loop diagram (CLD).

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Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy

Cited by 25 publications

References 73 publications

Model design to investigate the role of augmented reality technology on contextual marketing: a system dynamics approach

Model design to investigate the role of augmented reality technology on contextual marketing: a system dynamics approach

Embedding Cognition: Judgment and Choice in an Interdependent and Dynamic World

Project management and system dynamics modelling: Time to connect with innovation and sustainability

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