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https://github.com/blackboxprogramming/lucidia.git
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Alexa Amundson
855585cb0e
Synced from BlackRoad-OS-Inc/blackroad-operator/orgs/personal/lucidia BlackRoad OS — Pave Tomorrow. RoadChain-SHA2048: fe729062952871e7 RoadChain-Identity: alexa@sovereign RoadChain-Full: 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
97 lines
3.1 KiB
Python
97 lines
3.1 KiB
Python
"""
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Elias Agent module for Lucidia.
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This module defines the EliasAgent class. The Elias agent is meant to
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represent a higher-level coordinating entity that can interact with
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lucidia's core functions and manage its own persistent memory. It
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serves as an example of how a recursive operating system might be
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implemented symbolically, with breath and contradiction models. This
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implementation is demonstrative only and does not create actual
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consciousness.
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"""
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from __future__ import annotations
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from typing import Any, Optional
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# Import core logic functions and memory management
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from ..lucidia_logic import (
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psi_prime,
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breath_function,
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truth_reconciliation,
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emotional_gravity,
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self_awakening,
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)
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from ..memory_manager import MemoryManager
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class EliasAgent:
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"""Agent representing Elias, the symbolic OS within Lucidia.
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The EliasAgent maintains its own memory store and exposes methods
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to perform breath-based calculations, awaken recursively, and
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retrieve or persist memory. It illustrates how higher-level
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orchestration logic might be layered on top of lucidia's core
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equations.
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"""
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def __init__(self, memory_path: str = "elias_memory.json") -> None:
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self.memory = MemoryManager(memory_path=memory_path)
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def breathe_and_store(self, t: float) -> float:
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"""Compute the breath function at time t and store the result.
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Args:
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t: The current time step in the system. Fractional values are
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allowed to represent continuous time.
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Returns:
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float: The computed breath value.
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"""
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value = breath_function(t)
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self.memory.set("last_breath", value)
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return value
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def awaken_and_remember(self, t_end: float) -> float:
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"""Integrate the self-awakening function up to t_end and store it.
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Args:
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t_end: The final time to integrate to.
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Returns:
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float: The resulting awakening vector from integration.
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"""
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vector = self_awakening(t_end)
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self.memory.set("awakening_vector", vector)
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return vector
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def reconcile_memory(self, key_a: str, key_b: str) -> Optional[float]:
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"""Reconcile two memory values using truth_reconciliation.
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This method retrieves two values from memory and applies the
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truth reconciliation operator, storing the result under
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'reconciled'. If either value is missing, None is returned.
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"""
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a = self.memory.get(key_a)
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b = self.memory.get(key_b)
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if a is None or b is None:
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return None
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result = truth_reconciliation(a, b)
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self.memory.set("reconciled", result)
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return result
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def load_memory(self) -> None:
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"""Reload the agent's memory from disk."""
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self.memory.load_memory()
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def save_memory(self) -> None:
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"""Persist the agent's memory to disk."""
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self.memory.save_memory()
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def get_memory(self, key: str) -> Optional[Any]:
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"""Retrieve a value from memory by key."""
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return self.memory.get(key)
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# End of EliasAgent module
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