Papers Artificial Life
“Artificial Life” 태그가 달린 논문 110편 · 필터 해제
Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata
Central to the artificial life endeavour is the creation of artificial systems spontaneously generating properties found in the living world such as autopoiesis, self-replication, evolution and open-endedness. While nume…
Artificial LifeEnergentic Intelligence: From Self-Sustaining Systems to Enduring Artificial Life
This paper introduces Energentic Intelligence, a class of autonomous systems defined not by task performance, but by their capacity to sustain themselves through internal energy regulation. Departing from conventional re…
Artificial LifeAdaptive Exploration in Lenia with Intrinsic Multi-Objective Ranking
Artificial life aims to understand the fundamental principles of biological life by creating computational models that exhibit life-like properties. Although artificial life systems show promise for simulating biological…
Artificial LifeSpore in the Wild: Case Study on Spore.fun, a Real-World Experiment of Sovereign Agent Open-ended Evolution on Blockchain with TEEs
In Artificial Life (ALife) research, replicating Open-Ended Evolution (OEE)-the continuous emergence of novelty observed in biological life-has traditionally been pursued within isolated closed system simulations, such a…
Artificial LifeLarge Language ModelAutomating the Search for Artificial Life with Foundation Models
With the recent Nobel Prize awarded for radical advances in protein discovery, foundation models (FMs) for exploring large combinatorial spaces promise to revolutionize many scientific fields. Artificial Life (ALife) has…
Artificial LifeIngenuityUntapped Potential in Self-Optimization of Hopfield Networks: The Creativity of Unsupervised Learning
The Self-Optimization (SO) model can be considered as the third operational mode of the classical Hopfield Network, leveraging the power of associative memory to enhance optimization performance. Moreover, it has been ar…
Artificial LifeEmergence of Implicit World Models from Mortal Agents
We discuss the possibility of world models and active exploration as emergent properties of open-ended behavior optimization in autonomous agents. In discussing the source of the open-endedness of living things, we start…
Artificial LifeDomain AdaptationMeta Reinforcement LearningCAX: Cellular Automata Accelerated in JAX
Cellular automata have become a cornerstone for investigating emergence and self-organization across diverse scientific disciplines, spanning neuroscience, artificial life, and theoretical physics. However, the absence o…
ARCArtificial LifeEmergent Collective Reproduction via Evolving Neuronal Flocks
This study facilitates the understanding of evolutionary transitions in individuality (ETIs) through a novel artificial life framework, named VitaNova, that intricately merges self-organization and natural selection to s…
Artificial LifeJaxLife: An Open-Ended Agentic Simulator
Human intelligence emerged through the process of natural selection and evolution on Earth. We investigate what it would take to re-create this process in silico. While past work has often focused on low-level processes …
Artificial Life"Benefit Game: Alien Seaweed Swarms" -- Real-time Gamification of Digital Seaweed Ecology
"Benefit Game: Alien Seaweed Swarms" combines artificial life art and interactive game with installation to explore the impact of human activity on fragile seaweed ecosystems. The project aims to promote ecological consc…
Artificial LifeHow quantum and evolutionary algorithms can help each other: two examples
We investigate the potential of bio-inspired evolutionary algorithms for designing quantum circuits with specific goals, focusing on two particular tasks. The first one is motivated by the ideas of Artificial Life that a…
Artificial LifeEvolutionary AlgorithmsConstructing artificial life and materials scientists with accelerated AI using Deep AndersoNN
Deep AndersoNN accelerates AI by exploiting the continuum limit as the number of explicit layers in a neural network approaches infinity and can be taken as a single implicit layer, known as a deep equilibrium model. Sol…
Artificial LifeComputational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction
The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature of most substrates where life emerges is a marked shift in dyn…
Artificial LifeFrom Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models
Large Language Models (LLMs) have taken the field of AI by storm, but their adoption in the field of Artificial Life (ALife) has been, so far, relatively reserved. In this work we investigate the potential synergies betw…
Artificial LifeOn Creativity and Open-Endedness
Artificial Life (ALife) as an interdisciplinary field draws inspiration and influence from a variety of perspectives. Scientific progress crucially depends, then, on concerted efforts to invite cross-disciplinary dialogu…
Artificial LifePhylotrack: C++ and Python libraries for in silico phylogenetic tracking
In silico evolution instantiates the processes of heredity, variation, and differential reproductive success (the three "ingredients" for evolution by natural selection) within digital populations of computational agents…
Artificial LifeNon-Spatial Hash Chemistry as a Minimalistic Open-Ended Evolutionary System
There is an increasing level of interest in open-endedness in the recent literature of Artificial Life and Artificial Intelligence. We previously proposed the cardinality leap of possibility spaces as a promising mechani…
Artificial LifeTrackable Agent-based Evolution Models at Wafer Scale
Continuing improvements in computing hardware are poised to transform capabilities for in silico modeling of cross-scale phenomena underlying major open questions in evolutionary biology and artificial life, such as tran…
Artificial LifeMethods to Estimate Cryptic Sequence Complexity
Complexity is a signature quality of interest in artificial life systems. Alongside other dimensions of assessment, it is common to quantify genome sites that contribute to fitness as a complexity measure. However, limit…
Artificial Life