The paper argues that the agent paradigm in AI is conceptually ambiguous and anthropocentric, and that next-generation intelligence may be better pursued through system-level, world-model, and material-computing frameworks.
Modular Design Patterns for Hybrid Actors
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abstract
Recently, a boxology (graphical language) with design patterns for hybrid AI was proposed, combining symbolic and sub-symbolic learning and reasoning. In this paper, we extend this boxology with actors and their interactions. The main contributions of this paper are: 1) an extension of the taxonomy to describe distributed hybrid AI systems with actors and interactions; and 2) showing examples using a few design patterns relevant in multi-agent systems and human-agent interaction.
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2025 1verdicts
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Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems?
The paper argues that the agent paradigm in AI is conceptually ambiguous and anthropocentric, and that next-generation intelligence may be better pursued through system-level, world-model, and material-computing frameworks.