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#ALife

22
posts · 30d
6
users
1
posts / day
3.7
posts / user
-18% vs last week

#ALife is an active hashtag on Bluesky. In the last 30 days, 6 people shared 22 posts with it — around 1 a day. Activity is down 18% versus the previous week, peaking on Jul 25 with 4 posts.

#ALife posts per day (last 30 days)

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#AIAgent 15

Posts with #ALife

Craig Reynolds
@craigreynolds.bsky.social
2 months ago
I am pleased to announce that my submission to ALIFE 2026 has been accepted as a talk. Part of a larger collaboration on “inverse design” for multi-agent motion models, this EvoFlock side project uses a genetic algorithm to tune simulation parameters to meet a behavioral objective function. #ALife
EvoFlock: evolved inverse design of multi-agent motion Abstract This paper describes an automatic method for adjusting or tuning models of multi-agent motion. Simulating the motion of bird flocks, human crowds, vehicle traffic, and other multi-agent systems is a widely used technique. These simulations model the behavior of a single group member (bird, human, or vehicle). The group behaviors (flock, crowd, traffic) emerge from interactions between group members. These models typically have many numerical control parameters. Even if each parameter is intuitive in isolation, their interaction can be complex and nonlinear. It is challenging to determine which parameters to adjust for the desired change in group behavior. Changing one aspect of group behavior often causes other aspects to change, leading to a tedious process of incremental changes. In this work, the desired group behavior is measured with an objective(/fitness/loss) function and optimized with a genetic algorithm. The objective function used here for basic flocking rewards proper spacing with neighbors, flying near a desired speed, and avoiding obstacles. Interestingly, the vivid alignment seen in bird flocks appears to emerge from maintaining proper spacing between flockmates. https://drive.google.com/file/d/1kUtEAs9WsHG-mLG4UbsIwxEEnhpsiRYY/view
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Craig Reynolds
@craigreynolds.bsky.social
over 1 year ago
ALIFE 2025 The 2025 Conference on Artificial Life 6-10 October, 2025 Kyoto, Japan #alife
ALIFE 2025 The 2025 Conference on Artificial Life 6-10 October, 2025 Kyoto, Japan
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Dr. Emily Dolson
@emilydolson.bsky.social
over 1 year ago
Just found out I had a couple of papers accepted to the IEEE #ALife conference, which means it's time for my first Bluetorial 🧪! The first paper is about evolutionary algorithms for swarm robotics and was led by my PhD student, Max Foreback, in collaboration with @cliffbohm.bsky.social 1/n
1 6 38
Alejandro Fábregas-Tejeda
@alejandrofabregastejeda.com
8 months ago
Are you a philosopher of biology or physics interested in interdisciplinary research? Do questions about life (evolved & artificial), self-organization and #development fascinate you? If so, we have an exciting postdoctoral opportunity for you! Please help us spread the word! #HPbio #philsci #ALife

Come work with us! We are looking for a postdoc in #philbio or #philphysics to work on an interdisciplinary project that adopts the lens of self-organization & active matter to explore the boundary between living & nonliving systems www.kuleuven.be/personeel/jo... #academicsky #philjobs #HPS #evosky
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Emerging Researchers in Artificial Life
@eralife.bsky.social
1 day ago
Want to introduce #ALife to a general audience? 🌍 Explore a digital "museum exhibit" guiding curious minds through key ideas, discovering the design behind the platform and how you can shape its future! 🏛️🔮 Intrigued? Join our next Professional Town Hall to learn more! 🌱
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Lana Sinapayen
@sinalana.eurosky.social
4 months ago
Our paper on detecting terraformed planets is finally published: doi.org/10.3847/1538... Context: we wanted a method to detect life in the universe that does not depend on any particular chemistry or hyperspecific definitions of life 1/n #Astrobiology #ALife

doi.org

An Agnostic Biosignature Based on Modeling Panspermia and Terraforming

An Agnostic Biosignature Based on Modeling Panspermia and Terraforming, Smith, Harrison B., Sinapayen, Lana
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