11 citations · 25 across the 8 of their papers we have counts for
9 papers
From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulation
Patrick Taillandier, Jean Daniel Zucker, Arnaud Grignard +4
The integration of Large Language Models (LLMs) into social simulation has generated enthusiasm but also raises methodological and epistemological challenges. This critical review…
Coupling Agent-Based Simulations and VR universes: the case of GAMA and Unity
Alexis Drogoul, Patrick Taillandier, Arthur Brugière +4
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…
The Kalai-Smorodinski solution for many-objective Bayesian optimization
Mickaël Binois, Victor Picheny, Patrick Taillandier +1
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…
Knowledge revision in systems based on an informed tree search strategy : application to cartographic generalisation
Patrick Taillandier, Cécile Duchêne, Alexis Drogoul
Many real world problems can be expressed as optimisation problems. Solving this kind of problems means to find, among all possible solutions, the one that maximises an evaluation…
Objective Function Designing Led by User Preferences Acquisition
Patrick Taillandier, Julien Gaffuri
Many real world problems can be defined as optimisation problems in which the aim is to maximise an objective function. The quality of obtained solution is directly linked to the p…
Using Belief Theory to Diagnose Control Knowledge Quality. Application to cartographic generalisation
Patrick Taillandier, Cécile Duchêne, Alexis Drogoul
Both humans and artificial systems frequently use trial and error methods to problem solving. In order to be effective, this type of strategy implies having high quality control kn…
Automatic Sampling of Geographic objects
Patrick Taillandier, Julien Gaffuri
Today, one's disposes of large datasets composed of thousands of geographic objects. However, for many processes, which require the appraisal of an expert or much computational tim…
Designing generalisation evaluation function through human-machine dialogue
Patrick Taillandier, Julien Gaffuri
Automated generalisation has known important improvements these last few years. However, an issue that still deserves more study concerns the automatic evaluation of generalised da…
Supervised feature evaluation by consistency analysis: application to measure sets used to characterise geographic objects
Patrick Taillandier, Alexis Drogoul
Nowadays, supervised learning is commonly used in many domains. Indeed, many works propose to learn new knowledge from examples that translate the expected behaviour of the conside…