78 citations · 216 across the 24 of their papers we have counts for
25 papers
Dynamics of niche construction in adaptable populations evolving in diverse environments
Eleni Nisioti, Clément Moulin-Frier
In both natural and artificial studies, evolution is often seen as synonymous to natural selection. Individuals evolve under pressures set by environments that are either reset or…
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments
Gautier Hamon, Eleni Nisioti, Clément Moulin-Frier
Neuroevolution (NE) has recently proven a competitive alternative to learning by gradient descent in reinforcement learning tasks. However, the majority of NE methods and associate…
Cooperative control of environmental extremes by artificial intelligent agents
Martí Sánchez-Fibla, Clément Moulin-Frier, Ricard Solé
Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly changing the flows of matter, energy and information. This includes major innova…
Flow-Lenia: Towards open-ended evolution in cellular automata through mass conservation and parameter localization
Erwan Plantec, Gautier Hamon, Mayalen Etcheverry +3
The design of complex self-organising systems producing life-like phenomena, such as the open-ended evolution of virtual creatures, is one of the main goals of artificial life. Len…
Contrastive Multimodal Learning for Emergence of Graphical Sensory-Motor Communication
Tristan Karch, Yoann Lemesle, Romain Laroche +2
In this paper, we investigate whether artificial agents can develop a shared language in an ecological setting where communication relies on a sensory-motor channel. To this end, w…
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
Eleni Nisioti, Mateo Mahaut, Pierre-Yves Oudeyer +2
Human culture relies on innovation: our ability to continuously explore how existing elements can be combined to create new ones. Innovation is not solitary, it relies on collectiv…
Language and Culture Internalisation for Human-Like Autotelic AI
Cédric Colas, Tristan Karch, Clément Moulin-Frier +1
Building autonomous agents able to grow open-ended repertoires of skills across their lives is a fundamental goal of artificial intelligence (AI). A promising developmental approac…
Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition
Eleni Nisioti, Clément Moulin-Frier
The diversity and quality of natural systems have been a puzzle and inspiration for communities studying artificial life. It is now widely admitted that the adaptation mechanisms e…
Learning to Guide and to Be Guided in the Architect-Builder Problem
Paul Barde, Tristan Karch, Derek Nowrouzezahrai +3
We are interested in interactive agents that learn to coordinate, namely, a -- which performs actions but ignores the goal of the task, i.e. has no access to rewards -- a…
Socially Supervised Representation Learning: the Role of Subjectivity in Learning Efficient Representations
Julius Taylor, Eleni Nisioti, Clément Moulin-Frier
Despite its rise as a prominent solution to the data inefficiency of today's machine learning models, self-supervised learning has yet to be studied from a purely multi-agent persp…
Grounding Spatio-Temporal Language with Transformers
Tristan Karch, Laetitia Teodorescu, Katja Hofmann +2
Language is an interface to the outside world. In order for embodied agents to use it, language must be grounded in other, sensorimotor modalities. While there is an extended liter…
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti, Clément Moulin-Frier
Recent advances in Artificial Intelligence (AI) have revived the quest for agents able to acquire an open-ended repertoire of skills. However, although this ability is fundamentall…
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models
Cédric Colas, Boris Hejblum, Sébastien Rouillon +4
Epidemiologists model the dynamics of epidemics in order to propose control strategies based on pharmaceutical and non-pharmaceutical interventions (contact limitation, lock down,…
Emergent Jaw Predominance in Vocal Development through Stochastic Optimization
Clément Moulin-Frier, Jules Brochard, Freek Stulp +1
Infant vocal babbling strongly relies on jaw oscillations, especially at the stage of canonical babbling, which underlies the syllabic structure of world languages. In this paper,…
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry, Clement Moulin-Frier, Pierre-Yves Oudeyer
Self-organization of complex morphological patterns from local interactions is a fascinating phenomenon in many natural and artificial systems. In the artificial world, typical exa…
Deep Sets for Generalization in RL
Tristan Karch, Cédric Colas, Laetitia Teodorescu +2
This paper investigates the idea of encoding object-centered representations in the design of the reward function and policy architectures of a language-guided reinforcement learni…
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
Cédric Colas, Tristan Karch, Nicolas Lair +4
Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, sele…
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges
Clément Moulin-Frier, Pierre-Yves Oudeyer
Computational models of emergent communication in agent populations are currently gaining interest in the machine learning community due to recent advances in Multi-Agent Reinforce…
Modeling the Formation of Social Conventions from Embodied Real-Time Interactions
Ismael T. Freire, Clement Moulin-Frier, Marti Sanchez-Fibla +2
What is the role of real-time control and learning in the formation of social conventions? To answer this question, we propose a computational model that matches human behavioral d…
A correlational analysis of multiagent sensorimotor interactions: clustering autonomous and controllable entities
M. Sánchez-Fibla, C. Moulin-Frier, X. Arsiwalla +1
A first step to reach Theory of Mind (ToM) abilities (attribution of beliefs to others) in synthetic agents through sensorimotor interactions, would be to tag sensory data with age…
DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
Clément Moulin-Frier, Tobias Fischer, Maxime Petit +16
This paper introduces a cognitive architecture for a humanoid robot to engage in a proactive, mixed-initiative exploration and manipulation of its environment, where the initiative…
The Morphospace of Consciousness
Xerxes D. Arsiwalla, Ricard Sole, Clement Moulin-Frier +3
We construct a complexity-based morphospace to study systems-level properties of conscious & intelligent systems. The axes of this space label 3 complexity types: autonomous, cogni…
Embodied Artificial Intelligence through Distributed Adaptive Control: An Integrated Framework
Clément Moulin-Frier, Jordi-Ysard Puigbò, Xerxes D. Arsiwalla +2
In this paper, we argue that the future of Artificial Intelligence research resides in two keywords: integration and embodiment. We support this claim by analyzing the recent advan…
Decision Making under Uncertainty: A Quasimetric Approach
Steve N'Guyen, Clément Moulin-Frier, Jacques Droulez
We propose a new approach for solving a class of discrete decision making problems under uncertainty with positive cost. This issue concerns multiple and diverse fields such as eng…