Patrick Taillandier

• PhD in Computer Science
• Senior Researcher at French National Institute for Agriculture, Food, and Environment (INRAE)

The development of interactive map websites increases the need of efficient automatic cartographic generalisation. The generalisation process, which aims at decreasing the level of details of geographic data in order to produce a map at a given scale, is extremely complex. A classical method for automating the generalisation process consists in usi...

The agent-based modeling approach is now used in many domains such as geography, ecology, or economy, and more generally to study (spatially explicit) socio-environmental systems where the heterogeneity of the actors and the numerous feedback loops between them requires a modular and incremental approach to modeling. One major reason of this succes...

With the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Indeed, cognitive agent architectures face two main obstacles: their complexity for the field-expert mo...

Agent-based models (ABMs) and video games, including those taking advantage of virtual reality (VR), have undergone a remarkable parallel evolution, achieving impressive levels of complexity and sophistication. This paper argues that while ABMs prioritize scientific analysis and understanding and VR aims for immersive entertainment, they both simul...

The COVID-19 crisis demonstrated the importance of using models to understand, predict, and manage epidemics, in particular by assessing in advance the effect of different intervention policies. Numerous models have been proposed to answer a wide range of questions, from the impact of open borders to the effectiveness of neighborhood containment to...

The seismic and fumarollic activity of La Soufrie`re de Gaudeloupe increased in 1992. Continuing unrest led the Observatoire volocanologique et sismologique of Guadeloupe (OVSG-IPGP) to recommend in July 1999 to the authori- ties that the volcano alert be set to ‘‘Vigilance’’ (yellow). The OVSG-IPGP has been particularly vigilant and reinforced its...

The seismic and fumarollic activity of La Soufrière de Gaudeloupe increased in 1992. Continuing unrest led the Observatoire volocanologique et sismologique of Guadeloupe (OVSG-IPGP) to recommend in July 1999 to the authorities that the volcano alert be set to “Vigilance” (yellow). The OVSG-IPGP has been particularly vigilant and reinforced its moni...

During our participation to the 54th conference of ISAGA, we presented the results gathered from four sessions of participatory workshops using the RÁC serious game in the Bắc Hưng Hải irrigation system, aiming at triggering discussion among local stakeholders on water pollution management.

Livestock production systems are strongly influenced by societal constraints which induce changes in their overall chain value organization. In dairy sheep farming, practices such as the male effect (ME) supported by new precision tools (heat detector) can be used to stop the use of hormonal treatments (HT) for heat induction and synchronization. H...

Hormone-free (HF) reproduction in dairy sheep is a way to meet current societal demands, but it requires being prepared for collateral impacts on related system components. The efficiency of HF practices (e.g., using the male effect for estrus induction and synchronization) is uncertain compared with hormonal treatment (HT). For example, these prac...

In this paper, we tackle innovation diffusion from the perspective of an institution which aims to encourage the adoption of a new product (i.e., an innovation) with mostly social rather than individual benefits. Designing such innovation adoption policies is a very challenging task because of the difficulty to quantify and predict its effect on th...

Abstract: The Mekong Delta region has been seriously affected by climate change, with increasing temperatures, sea-level rise, and salinization strongly impacting agricultural activities of the region. Recent studies have shown that groundwater exploitation also contributes significantly to land subsidence throughout the delta. Thus, combating clim...

Continuous improvement in computing power allowed for an increase of the scales micro-traffic models can be used at. Among them, agent-based frameworks are now appropriate for studying ordinary traffic conditions at city-scale, but remain difficult to adapt, especially for non-computer scientists, to more specific application contexts (e.g., car ac...

The predominantly agricultural Mekong Delta region will be profoundly affected by the effects of climate change, such as rising temperatures, sea level rise, and salinization. But recent studies show that other factors, such as sand mining and groundwater exploitation, will also largely contribute to future pressures, particularly through land subs...

Our participation to this conference allowed us to introduce the first version of the RÁC ("waste" in Vietnamese) serious game prior to participatory workshops in Việt Nam. The overview of the game and its design triggered stimulating remarks from the audience, allowing for enhancements in the game.

At a time when the impacts of climate change and increasing urbanization are making risk management more complex, there is an urgent need for tools to better support risk managers. One approach increasingly used in crisis management is preventive mass evacuation. However, to implement and evaluate the effectiveness of such strategy can be complex,...

Agent-based simulation has long been used to study the dynamics of adoption and diffusion of innovations. However, the vast majority of these works are limited to an abstract and simplified representation of this process, which does not allow to explain the reasons for the change of opinion of an agent. In order to go further in the explanation of...

The present article proposes a suite of programs aimed at (i) representing landscape organization in relation with the functioning of annual crops or breeding systems, (ii) evaluating water movements from biomass and hydrological exchanges, and (iii) analyzing the transfer dynamics of nutrients, suspended matter or fecal bacteria based on particle...

The global Covid-19 pandemic has raised many questions about how we occupy and move in the built environment. Interior environments have been increasingly discussed in numerous studies highlighting how interior spaces play a key role in the spread of pandemics. One societal challenge is to find short-term strategies to reopen indoor venues. Most cu...

Partial or total horizontal evacuation of populations in urban areas is an important protection measure against a natural or technological risk. However, casualties during massive displacement in a context of stress and in a potentially degraded environment may be high due to non-compliance with instructions, accidents, traffic jams, incivilities,...

Since its emergence in China late 2019, 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. The scientific community has quickly emerged as a centerpiece to resolve t...

Agent-based simulation has long been used to study the dynamics of adoption and diffusion of innovations. However, the vast majority of these works are limited to an abstract and simplified representation of this process, which does not allow to explain the reasons for the change of opinion of an agent. In order to go further in the explanation of...

The objective of Chapter 10 is to present how computational models can be used to represent and understand the interactions between adaptation strategies adopted at different spatial and social scales in several climatic scenarios. These models are variations of a basic model called LUCAS (for Land Use Change for Adaptation Strategies), a spatially...

The rice-shrimp farming system is considered as a sustainable and beneficial model for the environment. However, the area of rice-shrimp was increasingly narrowed due to the trend of converting from rice to aquaculture by economic reasons. This paper aims to propose a medium scale land use change model for understanding the land use decision of far...

Managing reproduction of a dairy sheep flock without using hormones for oestrus induction and synchronisation is an alternative method that complies with agroecological principles, animal welfare and public health concerns. However, shifting from conventional reproductive management to a hormone-free philosophy means leaving more room for individua...

Flood management is particularly important for many urban territories. In order to assess the interest of different risk mitigation strategies, it is necessary to consider the human behavior. Different models and approaches are available to model and simulate people behaviors during a flood event. Despite the considerable recent progress of these m...

Agent-based simulation has long been used to study the dynamics of innovation adoption and diffusion. However, the vast majority of these works are limited to an abstract and simplified representation of this process, which does not make it possible to explain the reasons for an agent's change of opinion, an element that is nonetheless fundamental...

The global Covid-19 pandemic has raised many questions about how we occupy and move about in the built environment. Interior environments have been increasingly discussed in numerous studies highlighting how interior spaces play a key key in the spread of pandemics , especially in winter months when people spend most of their time in closed spaces....

Agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of the existing models have been limited to extremely abstract and simplified representations of the diffusion process, which impairs the realism of the simulations and disables the understanding of the reasons for the shift of an actor’s opinion....

Chapuis, KevinTaillandier, PatrickGaudou, BenoitAmblard, FrricThiriot, SamuelIn recent years, the use of agent-based modeling to tackle complex societal issue has led to the massive use of data to better represent the targeted system. A key question in the development of such models is the definition of the initial population. If many tools and met...

This paper introduces a generic agent-based model simulating the exchange and the diffusion of pro and con arguments. It is applied to the case of the diffusion 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. Howeve...

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 methodolo...

La simulation sociale en tant qu'outil scientifique néces-site le développement de comportements crédibles pour les agents simulant le comportement d'acteurs humains. Une façon d'améliorer la crédibilité des simulations ob-tenues est d'intégrer des dimensions cognitive, affective et sociales dans la prise de décision des agents. Pour autant, dévelo...

We describe in this document the COMOKIT model using the standard O.D.D. protocol in its 1 first review version.

The position paper is available here: https://rofasss.org/2020/04/27/comokit/

In the context of global warming and environmental pressure, food chains must adapt to new production conditions while satisfying the evolving consumer demand. Livestock production is known for its negative ecological footprint, bringing forward the question of a possible transition towards more plant-based diets. Citizens' demand evolves at differ...

Data on individual decisions concerning food diet changes towards plant-based diets and their determinants : (1) 145 arguments from the web and grey literature (in English), (2) results of an online survey with 1714 respondants in France (in French), (3) 20 in-depth biographic interviews (1 in English, 19 in French). (2018)

These last years have seen the development of several extensions of modeling platforms to include BDI agents. These extensions have allowed modelers with little knowledge in programming and artificial intelligence to develop their own cognitive agents. However, especially in large-scale simulations, the problem of the computational time required by...

Toward the objective of building realistic social models, mod-elers often need to use a lot of data about the target system. This descriptive perspective will often encourage models to rely on a synthetic population of agents with attributes that reflect to the best the real population. Several well established methods have been proposed to build c...

Agent-based simulation has been extensively used to study opinion dynamics. However, the vast majority of the existing models have been limited to extremely abstract and simplified representations of the diffusion process, which impairs the realism of the simulations and disables the understanding of the reasons for the shift of an actor's opinion....

Social Simulations are used to study complex systems featuring human actors. This means reproducing real-life situations involving people in order to explain an observed behavior. However, there are actually no agent architectures among the most popular platforms for agent-based simulation enabling to easily model human actors. This situation leads...

In recent years, the use of agent-based modeling to tackle complex societal issue has led to the massive use of data to better represent the targeted system. A key question in the development of such models is the definition of the initial population. If many tools and methods already exist to generate a synthetic population from global and sample...

Building design involves many challenges and requires to take into account the interaction between the building and the users. Different occupant behaviour models implemented with building simulation tools (thermal, air quality, lighting) have been proposed. Among these, models based on the agent approach seem to be the most promising. However, exi...

Partial or total horizontal evacuation of populations in urban areas is an important protection measure against a natural or technological risk. However, casualties during massive displacement in a context of stress and in a potentially degraded environment may be high due to non-compliance with instructions, accidents, traffic jams, incivilities,...

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 often not involved in the modeling and simulation processes. Indeed, while several tools dedicated to participatory modeling and simulation exist, these are...

An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations, recovering the set of optimal compromise solutions generally requires numerous observations and is less interpretable since this set tends to grow larger with the numbe...

To be realistic, evacuation simulations have to consider several aspects of the human psychology that affect their decision-making process. Among them we find social relationships and emotions like fear. The former has been proven to have a great influence on the outcomes of simulations as they modify the behaviour of agents to make them escape in...

Urban traffic is made of a variety of mobility modes that have to be taken into account to explore the impact of catastrophic event. From individual mobility behaviors to macroscopic traffic dynamics, agent-based modeling provides an interesting conceptual framework to study this question. Unfortunately, most proposals in the domain do not provide...

To be realistic, evacuation simulations have to consider several aspects of the human psychology that affect their decision-making process. Among them we find social relationships and emotions like fear. The former has been proven to have a great influence on the outcomes of simulations as they modify the behaviour of agents to make them escape in...

Mobility is a key issue for city planners. Being able to evaluate the impact of its evolution is complex and involves many factors including new technologies like electric cars, autonomous vehicles and also new social habits like vehicle sharing. We need a better understanding of different scenarios to improve the quality of long-term decisions. Co...

Mobility is a key issue for city planners. Being able to evaluate the impact of its evolution is complex and involves many factors including new technologies like electric cars, autonomous vehicles and also new social habits like vehicle sharing. We need a better understanding of different scenarios to improve the quality of long-term decisions. Co...

Social Simulations need agents with a realistic behavior to be used as a scientific tool by social scientists. When simulating a human society, a realistic behavior implies the use of cognition, social relations between people but also to take into account emotions and the dynamic between these features. However, developing such a behavior is often...

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...

Agent-based models tend to integrate more and more data that can deeply impact their outcomes. Among these data, the ones that deal with agent attributes and localization are particularly important, but are very difficult to collect. In order to tackle this issue, we propose a complete generic toolkit called Gen* dedicated to generating spatially e...

Cartographic generalization is a highly local and contextual process where decisions are taken locally to better adjust the transformations used to the local geography. Thus, carto-graphic generalization fits well with the multi-agents paradigm that promotes decentralized and autonomous decision-making. The past years of research in cartographic ge...

With the globalization, several free trade areas have been and are being created all around the world. They usually have positive consequences for increasing economic exchanges, but negative ecological or health side effects. These negative effects are difficult to predict or even to understand due to the complexity of the system and of the number...

These last years have seen the development of several extensions of modeling platforms to include BDI agents. These extensions have allowed modelers with little knowledge in programming and artificial intelligence to develop their own cognitive agents. However, especially in large-scale simulations, the problem of the computational time required by...

Social Simulations need agents with a realistic behavior to be used as a scientific tool by social scientists. When simulating a human society, a realistic behavior implies the use of cognition, social relations between people but also to take into account emotions and the dynamic between these features. However, developing such a behavior is often...

Social Simulations need agents with a realistic behavior to be used as a scientific tool by social scientists. When simulating a human society, a realistic behavior implies the use of cognition, social relations between people but also to take into account emotions and the dynamic between these features. However, developing such a behavior is often...

With the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Cognitive architectures face two main obstacles: their complexity for the field-expert modeler, and the...

Urban growth has been widely studied and many models (in particular Cellular Automata and Agent-Based Models) have been developed. Most of these models rely on two representations of the geographic space: raster and vector. Both representations have their own strengths and drawbacks. The raster models are simpler to implement and require less data,...

Each summer in Australia, bushfires burn many hectares of forest, causing deaths, injuries, and destroying property. Agent-based simulation is a powerful tool for decision-makers to explore different strategies for managing such crisis, testing them on a simulated population; but valid results require realistic underlying models. It is therefore es...

: Traffic modeling is a particularly active field, the origins of which can be traced back to the pioneering work of Greenshield in the 1930s. Greenshield was the first to formulate a structural relation between the speed of vehicles on a road and the distance between them. This relation between the flow rate/density, at the heart of the so-called...

With the increase of computing power and the development of userfriendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Cognitive architectures face two main obstacles: their complexity for the field-expert modeler, and thei...

Urban growth has been widely studied and many models (in particular Cellular Automata and Agent-Based Models) have been developed. Most of these models rely on two representations of the geographic space: raster and vector. Both representations have their own strengths and drawbacks. The raster models are simpler to implement and require less data,...