Tool-mediated LLM agents with deterministic tools and a machine-checked Lyapunov certificate achieve stable control in cyber defense, reducing attacker game value by 59% on real attack graphs.
Game theory meets llm and agentic ai: Reimagining cybersecurity for the age of intelligent threats.arXiv
7 Pith papers cite this work. Polarity classification is still indexing.
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Develops a semantic signaling game for LLMs with awareness types modeling systematic blindness, Gaussian approximations for decisions, Perfect Bayesian Nash equilibria, and mechanism design for benign outcomes via awareness shaping.
Outlines a vision and key research challenges for scalable networks of autonomous AI agents drawing on multi-agent systems, networks, and security.
Multilevel Interactive Equilibrium generalizes Nash equilibrium so that neural learning, internal representations, and observable behaviors mutually stabilize in interacting agents.
Develops a framework linking token-level technical costs to workflow-level economic value and market design in AI foundation models.
Agentic AI requires a coordinated layered insurance ecosystem integrating cyber, liability, and performance coverages rather than a single new product.
Synthesizes mechanisms of LLM censorship across the model lifecycle and argues that the key issue is making moderation proportionate, accountable, pluralistic, and auditable rather than debating whether moderation should occur.
citing papers explorer
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Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense
Tool-mediated LLM agents with deterministic tools and a machine-checked Lyapunov certificate achieve stable control in cyber defense, reducing attacker game value by 59% on real attack graphs.
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LLM Semantic Signaling Game and Mechanism Design: Systematic Blindness, Awareness Shaping, and Mindset Dynamics
Develops a semantic signaling game for LLMs with awareness types modeling systematic blindness, Gaussian approximations for decisions, Perfect Bayesian Nash equilibria, and mechanism design for benign outcomes via awareness shaping.
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The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale
Outlines a vision and key research challenges for scalable networks of autonomous AI agents drawing on multi-agent systems, networks, and security.
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A Theory of Multilevel Interactive Equilibrium in NeuroAI
Multilevel Interactive Equilibrium generalizes Nash equilibrium so that neural learning, internal representations, and observable behaviors mutually stabilize in interacting agents.
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AI Tokenomics: The Economics of Tokens, Computation, and Pricing in Foundation Models
Develops a framework linking token-level technical costs to workflow-level economic value and market design in AI foundation models.
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Insurance of Agentic AI
Agentic AI requires a coordinated layered insurance ecosystem integrating cyber, liability, and performance coverages rather than a single new product.
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Understanding Censorship in Large Language Models: From Mechanisms to Governance
Synthesizes mechanisms of LLM censorship across the model lifecycle and argues that the key issue is making moderation proportionate, accountable, pluralistic, and auditable rather than debating whether moderation should occur.