Patrick Taillandier
Biographic Data
| ID | 4980109 |
|---|---|
| NAME | Patrick Taillandier |
| GIVEN NAMES | Patrick |
| FAMILY NAME | Taillandier |
| SIGNATURE | TAILLANDIER P |
| AFFILIATIONS | Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement |
| ORCID | 0000-0003-2939-4827 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
The dynamic sketch map to support reflection on urban flooding
Midao
Numerous studies have highlighted the impact of interpersonal relationships in the dynamics of innovation adoption and diffusion.It is therefore natural that agent-based simulation is a commonly chosen approach for studying these dynamics, due to its ability to represent individual decisions and interactions between individuals.Some of these studies have focused specifically on the impact of social influences on the construction of an opinion on …
Rác
International audience
An agent-based model to simulate inhabitants’ behavior during a flood event
Introducing the Argumentation Framework Within Agent-Based Models to Better Simulate Agents' Cognition in Opinion Dynamics
This paper introduces a generic agent-based model simulating the exchange and the di usion of pro and con arguments. It is applied to the case of the di usion of vegetarian diets in the context of a potential emergence of a second nutrition transition. To this day, agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of existing models have been limited to extremely abstract and simplified represe…
Comokit
Since its emergence in China, the COVID-19 pandemic has spread rapidly around the world. Faced with this unknown disease, public health authorities were forced to experiment, in a short period of time, with various combinations of interventions at different scales. However, as the pandemic progresses, there is an urgent need for tools and methodologies to quickly analyze the effectiveness of responses against COVID-19 in different communities and…
Ben
Over the last few years, the use of agent-based simulations to study social systems has spread to many domains (e.g., geography, ecology, sociology, economy). These simulations aim to reproduce real life situations involving human beings and thus need to integrate complex agents to match the behavior of the simulated people. Therefore, notions such as cognition, emotions, personality, social relationships or norms have to be taken into account, b…
Participatory Modeling and Simulation with the Gama Platform
In recent years, agent-based simulation has become an important tool to study complex systems. However, the models produced are rarely used for decision-making support because stakeholders are o en not involved in the modeling and simulation processes. Indeed, while several tools dedicated to participatory modeling and simulation exist, these are limited to the design of simple KISS models, thus reducing their potential impact. In this article, w…
Emotion Modeling in Social Simulation
Emotions play a key role in human behavior. Being able to integrate them in models is therefore a major issue to improve the believability of agent-based social simulations. However, and despite the emergence of many emotional models usable for simulations in the last few years, many modelers still tend to use too simple ad hoc emotional models. To support this view, this article proposes a survey of the di erent practices of modelers in terms of…
Introducing the Argumentation Framework Within Agent-Based Models to Better Simulate Agents' Cognition in Opinion Dynamics
This paper introduces a generic agent-based model simulating the exchange and the di usion of pro and con arguments. It is applied to the case of the di usion of vegetarian diets in the context of a potential emergence of a second nutrition transition. To this day, agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of existing models have been limited to extremely abstract and simplified represe…
Emotion Modeling in Social Simulation
Emotions play a key role in human behavior. Being able to integrate them in models is therefore a major issue to improve the believability of agent-based social simulations. However, and despite the emergence of many emotional models usable for simulations in the last few years, many modelers still tend to use too simple ad hoc emotional models. To support this view, this article proposes a survey of the di erent practices of modelers in terms of…
Participatory Modeling and Simulation with the Gama Platform
In recent years, agent-based simulation has become an important tool to study complex systems. However, the models produced are rarely used for decision-making support because stakeholders are o en not involved in the modeling and simulation processes. Indeed, while several tools dedicated to participatory modeling and simulation exist, these are limited to the design of simple KISS models, thus reducing their potential impact. In this article, w…
Comokit
Since its emergence in China, the COVID-19 pandemic has spread rapidly around the world. Faced with this unknown disease, public health authorities were forced to experiment, in a short period of time, with various combinations of interventions at different scales. However, as the pandemic progresses, there is an urgent need for tools and methodologies to quickly analyze the effectiveness of responses against COVID-19 in different communities and…
Ben
Over the last few years, the use of agent-based simulations to study social systems has spread to many domains (e.g., geography, ecology, sociology, economy). These simulations aim to reproduce real life situations involving human beings and thus need to integrate complex agents to match the behavior of the simulated people. Therefore, notions such as cognition, emotions, personality, social relationships or norms have to be taken into account, b…
An agent-based model to simulate inhabitants’ behavior during a flood event
Introducing the Argumentation Framework Within Agent-Based Models to Better Simulate Agents' Cognition in Opinion Dynamics
This paper introduces a generic agent-based model simulating the exchange and the di usion of pro and con arguments. It is applied to the case of the di usion of vegetarian diets in the context of a potential emergence of a second nutrition transition. To this day, agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of existing models have been limited to extremely abstract and simplified represe…
The dynamic sketch map to support reflection on urban flooding
Midao
Numerous studies have highlighted the impact of interpersonal relationships in the dynamics of innovation adoption and diffusion.It is therefore natural that agent-based simulation is a commonly chosen approach for studying these dynamics, due to its ability to represent individual decisions and interactions between individuals.Some of these studies have focused specifically on the impact of social influences on the construction of an opinion on …
Rác
International audience
Computer Science (8 works) · Engineering (7 works) · Management science (4 works) · Business (3 works) · Data science (3 works) · Geography (3 works) · Psychology (3 works) · Agent-based model (2 works) · Artificial Intelligence (2 works) · Cognitive science (2 works)