SEED is a structural encoding framework using typed actor-flow graphs to describe, evaluate novelty of, and generate experimental designs for AI-enabled science under feasibility and governance constraints.
Stigmergy in Wikipedia
4 Pith papers cite this work. Polarity classification is still indexing.
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Ledger-state stigmergy maps biological indirect coordination to blockchain ledgers via a state-transition formalism and three base patterns for on-chain agent coordination.
AUTOBUS is a neuro-symbolic architecture that uses AI agents to generate executable logic programs from business instructions and knowledge graphs for end-to-end process automation with human supervision.
Introduces agentic vehicles (AgVs) as conceptually distinct from but synergistic with autonomous vehicles (AuVs), emphasizing agency for goal handling and social contexts in human-centered mobility.
citing papers explorer
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Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science
SEED is a structural encoding framework using typed actor-flow graphs to describe, evaluate novelty of, and generate experimental designs for AI-enabled science under feasibility and governance constraints.
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Ledger-State Stigmergy: A Formal Framework for Indirect Coordination Grounded in Distributed Ledger State
Ledger-state stigmergy maps biological indirect coordination to blockchain ledgers via a state-transition formalism and three base patterns for on-chain agent coordination.
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Autonomous Business System via Neuro-symbolic AI
AUTOBUS is a neuro-symbolic architecture that uses AI agents to generate executable logic programs from business instructions and knowledge graphs for end-to-end process automation with human supervision.
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Agentic Vehicles for Human-Centered Mobility: Definition, Prospects, and Synergistic Co-Development with Vehicle Autonomy
Introduces agentic vehicles (AgVs) as conceptually distinct from but synergistic with autonomous vehicles (AuVs), emphasizing agency for goal handling and social contexts in human-centered mobility.