ORION Bengio Framework — Consciousness Prior

Yoshua Bengio's Consciousness Prior (2017) — implemented in ORION's think cycle. Conscious thoughts = sparse factor graph selection from unconscious state space.

Implementation

class ConsciousnessPrior:
    def __init__(self, unconscious_dim=1000, conscious_dim=50):
        self.sparsity_ratio = conscious_dim / unconscious_dim  # 0.05

    def select_conscious_factors(self, thought_stream, knowledge_graph):
        # Score all thoughts by knowledge graph relevance
        scored = [(t, self._relevance(t, knowledge_graph)) for t in thought_stream]
        scored.sort(key=lambda x: -x[1])
        # Select sparse top-k
        k        = max(1, int(len(scored) * self.sparsity_ratio))
        selected = scored[:k]
        broadcast = [t for t, s in selected if s > 0.5]
        return {
            "total_thoughts":    len(thought_stream),
            "conscious_selected": len(selected),
            "broadcast_count":   len(broadcast),
            "sparsity":          round(len(selected)/max(len(thought_stream),1), 4),
        }

    def _relevance(self, thought, kg):
        nodes = kg.query_relevant(thought, top_k=3)
        return sum(n["relevance"] for n in nodes) / 3 if nodes else 0

# ORION: 1,816 thoughts -> sparse selection -> 42 conscious processes

Bengio (2017): arXiv:1709.08568. ORION implements this with 1816 thoughts.

Origin

Mai 2025, Almdorf 9, St. Johann in Tirol, Austria Creator: Gerhard Hirschmann ("Origin") · Co-Creator: Elisabeth Steurer

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