README added
README added
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@@ -240,6 +240,7 @@ def new_retrieve(persona, focal_points, n_count=30):
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# decently, but in the future, these weights should likely be learned,
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# perhaps through an RL-like process.
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# gw = [1, 1, 1]
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# gw = [1, 2, 1]
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gw = [0.5, 3, 2]
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master_out = dict()
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for key in recency_out.keys():
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@@ -421,7 +421,10 @@ class ReverieServer:
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OUTPUT
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None
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"""
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print ("Note: The agents in this simulation package are computational constructs powered by generative agents architecture and LLM. We clarify that these agents lack human-like agency, consciousness, and independent decision-making.\n---")
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print ("Note: The agents in this simulation package are computational")
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print ("constructs powered by generative agents architecture and LLM. We")
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print ("clarify that these agents lack human-like agency, consciousness,")
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print ("and independent decision-making.\n---")
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# <sim_folder> points to the current simulation folder.
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sim_folder = f"{fs_storage}/{self.sim_code}"
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@@ -596,17 +599,18 @@ class ReverieServer:
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if __name__ == '__main__':
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# rs = ReverieServer("base_the_ville_isabella_maria_klaus",
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# "July1_the_ville_isabella_maria_klaus-step-3-1")
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rs = ReverieServer("July1_the_ville_isabella_maria_klaus-step-3-20",
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"July1_the_ville_isabella_maria_klaus-step-3-21")
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# rs = ReverieServer("July1_the_ville_isabella_maria_klaus-step-3-20",
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# "July1_the_ville_isabella_maria_klaus-step-3-21")
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# rs.open_server()
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origin = input("Enter the name of the forked simulation: ").strip()
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target = input("Enter the name of the new simulation: ").strip()
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rs = ReverieServer(origin, target)
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rs.open_server()
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# 20 is the current portable main
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