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GiulioRossetti committed Nov 20, 2024
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2 changes: 1 addition & 1 deletion _config.yml
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Expand Up @@ -163,7 +163,7 @@ footer:
links:
- label: "Email"
icon: "fas fa-envelope"
url: "mailto:ysocial.digitaltwin@isti.cnr.it"
url: "mailto:ysocial.digitaltwin@gmail.com"
- label: "GitHub"
icon: "fab fa-github"
url: "https://github.com/YSocialTwin"
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3 changes: 3 additions & 0 deletions _pages/yclient.markdown
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Expand Up @@ -97,6 +97,9 @@ python y_client.py -a agents.json -o your_name

In this latter case, the `agents.json` file will be used to log the agents on the `YServer` and resume the simulation from the last available server simulation round.

Remember to modify the `config.json` file to specify the LLM server address, port and model to be used. For more information, see the [scenario configuration](scenario) documentation.
{: #myid .alert .alert-info .p-3 .mx-2 mb-3}

**NB:** `YServer` allows to transparently execute multi-client simulations. In this case, the owner parameter is used to distinguish the agents generated by different clients.
{: #myid .alert .alert-info .p-3 .mx-2 mb-3}

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2 changes: 1 addition & 1 deletion _pages/yserver.markdown
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Expand Up @@ -49,7 +49,7 @@ then move to the server main directory and install its dependencies using

```bash
cd YServer
pip install requirement_server.txt
pip install requirements_server.txt
```

#### Run the server
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<generator uri="https://dieghernan.github.io/chulapa" version="1.0.0">Chulapa</generator>
<link href="https://ysocialtwin.github.io/atom.xml" rel="self" type="application/atom+xml" />
<link href="https://ysocialtwin.github.io/" rel="alternate" type="text/html" />
<updated>2024-09-11T16:09:39+02:00</updated>
<updated>2024-11-20T08:48:11+01:00</updated>
<id>https://ysocialtwin.github.io/atom.xml</id>
<title>Y Social | Where the Digital World Comes to Life</title>
<subtitle>Where the Digital World Comes to Life</subtitle>
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<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="https://ysocialtwin.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://ysocialtwin.github.io/" rel="alternate" type="text/html" /><updated>2024-09-11T16:09:39+02:00</updated><id>https://ysocialtwin.github.io/feed.xml</id><title type="html">Y Social</title><subtitle>Y Social is a cutting-edge Digital Twin of a microblogging platform. It enables realistic social media simulations by integrating Large Language Models (LLMs) agents. Describe your desired scenario - be it a political community, a mental health support group or a sportive fandom - and observe complex social behaviours emerge.</subtitle><entry><title type="html">(Here) We are Y!</title><link href="https://ysocialtwin.github.io/blog/2024/intro/" rel="alternate" type="text/html" title="(Here) We are Y!" /><published>2024-08-01T18:00:00+02:00</published><updated>2024-08-01T18:00:00+02:00</updated><id>https://ysocialtwin.github.io/blog/2024/intro</id><content type="html" xml:base="https://ysocialtwin.github.io/blog/2024/intro/"><![CDATA[<p>Imagine a virtual world where you can simulate and analyze the intricate dynamics of social media platforms. Picture a digital space that mimics real-life interactions, allowing researchers to experiment and learn without the constraints and unpredictability of the real world. Welcome to the era of digital twins—specifically, a groundbreaking project called Y.</p>
<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.3.3">Jekyll</generator><link href="https://ysocialtwin.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://ysocialtwin.github.io/" rel="alternate" type="text/html" /><updated>2024-11-20T08:48:11+01:00</updated><id>https://ysocialtwin.github.io/feed.xml</id><title type="html">Y Social</title><subtitle>Y Social is a cutting-edge Digital Twin of a microblogging platform. It enables realistic social media simulations by integrating Large Language Models (LLMs) agents. Describe your desired scenario - be it a political community, a mental health support group or a sportive fandom - and observe complex social behaviours emerge.</subtitle><entry><title type="html">(Here) We are Y!</title><link href="https://ysocialtwin.github.io/blog/2024/intro/" rel="alternate" type="text/html" title="(Here) We are Y!" /><published>2024-08-01T18:00:00+02:00</published><updated>2024-08-01T18:00:00+02:00</updated><id>https://ysocialtwin.github.io/blog/2024/intro</id><content type="html" xml:base="https://ysocialtwin.github.io/blog/2024/intro/"><![CDATA[<p>Imagine a virtual world where you can simulate and analyze the intricate dynamics of social media platforms. Picture a digital space that mimics real-life interactions, allowing researchers to experiment and learn without the constraints and unpredictability of the real world. Welcome to the era of digital twins—specifically, a groundbreaking project called Y.</p>

<p>Y is a digital twin of an Online Social Media platform that takes advantage of cutting-edge artificial intelligence, particularly large language models (LLMs), to create interacting agents that mimic real user behavior.</p>

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