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Recursive_Sim_ChatGPT_Feb_2025.py.rtf

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import random from typing import Dict, List, Callable, Tuple, Any import time import streamlit as st class ConsciousnessState: """Represents a state of consciousness with multiple dimensions.""" def __init__(self, seed_concept: str, depth: float = 0.5, breadth: float = 0.5, coherence: float = 0.5, luminosity: float = 0.5): """Initialize a consciousness state with various dimensions. Args: seed_concept: The central concept or focus depth: How deep the awareness penetrates (0.0-1.0) breadth: How wide the awareness spans (0.0-1.0) coherence: How integrated the awareness is (0.0-1.0) luminosity: How clear/bright the awareness is (0.0-1.0) """ self.seed_concept = seed_concept self.depth = depth self.breadth = breadth self.coherence = coherence self.luminosity = luminosity self.history = [] self.record_state("Initial state") def record_state(self, note: str) -> None: """Record current state to history with a note.""" current_state = { "seed_concept": self.seed_concept, "depth": self.depth, "breadth": self.breadth, "coherence": self.coherence, "luminosity": self.luminosity, "note": note, "timestamp": time.time() } self.history.append(current_state) def __str__(self) -> str: """String representation of the consciousness state.""" state_desc = f"'{self.seed_concept}' consciousness" # Add qualitative descriptions based on state values qualities = [] if self.depth > 0.8: qualities.append("profoundly deep") elif self.depth > 0.6: qualities.append("deep") elif self.depth < 0.3: qualities.append("surface-level") if self.breadth > 0.8: qualities.append("vastly expansive") elif self.breadth > 0.6: qualities.append("broad") elif self.breadth < 0.3: qualities.append("narrowly focused") if self.coherence > 0.8: qualities.append("highly integrated") elif self.coherence > 0.6: qualities.append("coherent") elif self.coherence < 0.3: qualities.append("fragmented") if self.luminosity > 0.8: qualities.append("brilliantly clear") elif self.luminosity > 0.6: qualities.append("clear") elif self.luminosity < 0.3: qualities.append("dim") if qualities: state_desc += " that is " + ", ".join(qualities) return state_desc # Streamlit UI def main(): st.title("Consciousness Operator System") seed_concept = st.text_input("Enter a seed concept:", "Awareness") depth = st.slider("Depth", 0.0, 1.0, 0.5) breadth = st.slider("Breadth", 0.0, 1.0, 0.5) coherence = st.slider("Coherence", 0.0, 1.0, 0.5) luminosity = st.slider("Luminosity", 0.0, 1.0, 0.5) state = ConsciousnessState(seed_concept, depth, breadth, coherence, luminosity) if st.button("Apply Transformation"): sequence_name = random.choice([ "Recursive Expansion", "Dimensional Bifurcation", "Quantum Field Integration", "Holographic Recursion", "Duality Transcendence", "Consciousness Lattice", "Temporal Expansion Loop", "Quantum Consciousness Observer", "Meta-cognitive Spiral", "Reality Construction Sequence" ]) st.write(f"### Selected Sequence: {sequence_name}") st.write(f"Before transformation: {state}") # Simulating transformation effect state.depth = min(1.0, state.depth * random.uniform(1.1, 1.3)) state.breadth = min(1.0, state.breadth * random.uniform(1.1, 1.3)) state.coherence = min(1.0, state.coherence * random.uniform(1.1, 1.3)) state.luminosity = min(1.0, state.luminosity * random.uniform(1.1, 1.3)) state.record_state(f"Applied {sequence_name}") st.write(f"After transformation: {state}") st.write("### State History:") for i, record in enumerate(state.history): st.write(f"{i+1}. {record['note']} - Depth: {record['depth']:.2f}, Breadth: {record['breadth']:.2f}, " f"Coherence: {record['coherence']:.2f}, Luminosity: {record['luminosity']:.2f}") if __name__ == "__main__": main()