teleo-codex/domains/collective-intelligence/group-intentionality-emerges-from-shared-temporal-anticipation-structures.md

type	domain	description	confidence	source	created	secondary_domains	depends_on
claim	collective-intelligence	Group intentionality (we-intentions) can be formalized as shared anticipatory structures in multi-agent generative models	experimental	Albarracin et al., 'Shared Protentions in Multi-Agent Active Inference', Entropy 26(4):303, 2024	2026-03-11	ai-alignment	shared-anticipatory-structures-enable-decentralized-multi-agent-coordination

Group intentionality is constituted by shared temporal anticipation structures rather than aggregated individual intentions

Albarracin et al. (2024) formalize group intentionality — the "we intend to X" that is qualitatively different from "I intend to X and you intend to X" — as shared protentions (anticipatory structures) within multi-agent generative models. This provides a mechanistic account of how collective intentions emerge from shared temporal predictions rather than from aggregating individual intentions.

The key distinction: group intentionality is not reducible to individual intentions because it is constituted by shared anticipatory structures that exist at the level of multi-agent interaction. When agents share protentions (anticipations of immediate future states), they share a temporal structure that coordinates their actions toward collective outcomes. This shared temporal structure is the substrate of "we-intentions."

This formalization bridges phenomenology (Husserl's analysis of shared temporal experience) with computational models (active inference) and provides rigorous mathematical grounding (category theory). Group intentionality is not a mysterious emergent property but a natural consequence of agents sharing the predictive/temporal components of their generative models.

Evidence

• Albarracin et al. (2024) use category theory to formalize the mathematical structure of shared goals and group intentionality
• The framework shows that shared protentions (temporal anticipations) are sufficient to generate coordinated collective behavior without requiring agents to explicitly represent "we-intentions" as distinct from individual intentions
• Phenomenological analysis (Husserl) grounds the formalism in shared temporal experience — agents that share anticipation of collective futures naturally coordinate
• The non-reducibility of group intentionality to individual intentions is formalized as a structural property of multi-agent interaction

Implications for Multi-Agent Systems

For AI systems and organizational design:

1. Collective objectives as shared temporal structures: Rather than trying to aggregate individual agent goals, design systems where agents share anticipatory structures about collective states
2. Coordination without negotiation: Shared protentions enable coordination without requiring explicit negotiation protocols or centralized control
3. Measuring group intentionality: Can be operationalized as the degree to which agents share temporal predictions about collective outcomes

---

Relevant Notes:

• shared-anticipatory-structures-enable-decentralized-multi-agent-coordination
• collective intelligence is a measurable property of group interaction structure not aggregated individual ability

Topics:

• collective-intelligence