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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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Jonathan Reiser

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#reinforcement learning Open access Aug 2026

Quantum-Cognitive Reinforcement Learning via Penrose Objective Reduction

Classical reinforcement learning (RL) and decision theory rely on Kolmogorovian probability spaces and independent utility metrics. These models fail to capture non-commutative cognitive framing, question order effects, and collective voter gridlocks observed in human surveys and Web3 decentralized autonomous organizat...

Jonathan Reiser · 0 citations
#reinforcement learning Open access Aug 2026

Quantum-Cognitive Reinforcement Learning via Penrose Objective Reduction

Classical reinforcement learning (RL) and decision theory rely on Kolmogorovian probability spaces and independent utility metrics. These models fail to capture non-commutative cognitive framing, question order effects, and collective voter gridlocks observed in human surveys and Web3 decentralized autonomous organizat...

Jonathan Reiser · 0 citations

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