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2,130 papers
Autonomous multi-agent artificial intelligence (AI) systems have emerged as a rapidly evolving field that revolutionizes the way autonomous systems can make decisions together, collaborate on tasks, and learn, thereby opening new paradigms for distributed decision-making, task execution, and adaptive learning. The comp...
Explainability in Large Language Model (LLM)–assisted PLC programming is essential for industrial adoption, where engineers must understand, validate, and maintain generated control logic under strict safety and standardization constraints. Existing explainability-oriented prompting approaches such as Chain of Note (Co...
Generating PLC programs with Large Language Models (LLMs) that are directly deployable in industrial toolchains remains challenging because outputs must satisfy IEC 61131-3 semantics and vendor-specific compilation constraints. Verification-centric prompting such as Chain-of-Verification (CoVe) can reduce reasoning err...
Interstellar communication is not merely slow. It is strategically stale. A message received across distance reports a sender that may no longer occupy the same strategic state, while replies and irreversible actions are chosen on different local clocks. This paper develops a delayed Bayesian interaction game in which...
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Interstellar communication is not merely slow. It is strategically stale. A message received across distance reports a sender that may no longer occupy the same strategic state, while replies and irreversible actions are chosen on different local clocks. This paper develops a delayed Bayesian interaction game in which...
The Dark Forest hypothesis is usually presented as a general consequence of uncertainty, technological asymmetry and catastrophic vulnerability. This paper asks a narrower question: under which combinations of beliefs, capabilities, signalling conditions and network incentives does a Dark Forest actually emerge? A Dark...
The Dark Forest hypothesis is usually presented as a general consequence of uncertainty, technological asymmetry and catastrophic vulnerability. This paper asks a narrower question: under which combinations of beliefs, capabilities, signalling conditions and network incentives does a Dark Forest actually emerge? A Dark...
Interstellar game models normally allow strategies to change while holding fixed the players, technologies, preferences, feasible actions and payoff structure. This assumption is least credible for advanced civilisations operating across long technological and evolutionary horizons. This paper develops an Endogenous Ga...
Interstellar game models normally allow strategies to change while holding fixed the players, technologies, preferences, feasible actions and payoff structure. This assumption is least credible for advanced civilisations operating across long technological and evolutionary horizons. This paper develops an Endogenous Ga...
Interstellar game models normally allow strategies to change while holding fixed the players, technologies, preferences, feasible actions and payoff structure. This assumption is least credible for advanced civilisations operating across long technological and evolutionary horizons. This paper develops an Endogenous Ga...
Interstellar game models normally allow strategies to change while holding fixed the players, technologies, preferences, feasible actions and payoff structure. This assumption is least credible for advanced civilisations operating across long technological and evolutionary horizons. This paper develops an Endogenous Ga...
Dark Forest arguments commonly reduce interstellar strategy to a bilateral encounter between two persistent civilisations. A galaxy, however, is an open population in which civilisations enter, disappear, form selective relationships and occupy a spatially constrained network. This paper develops a continuous-time Gala...
Earth AI
A Blog post by Ai2 on Hugging Face
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