concept
active
concept:agentic-ai-systemsAgentic AI Systems
Higher-level systems built on top of LLMs that produce and consume representations beyond next-token prediction; proposed as potential candidates for consciousness.
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Claims (1)
claim
- Forward-looking claim suggesting the methodological framework is relevant for future AI systems beyond current LLMs.
Concepts (1)
concept
- Autonomous AI Systemsrelated_toFuture AI that may be rational, autonomous, and possibly conscious but lack affective consciousness.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- The traditional alignment framework focusing on agents optimized to pursue goals.
- Reasoning approach using code or tool calls executed by an agent.
- Key empirical question for the agency route.
- Domain where consciousness theories are being applied to synthetic systems; part of broader context of unconventional embodiments.
- Methods that use agentic reasoning; incur context-switching latency from external execution.
- Synthetic agents (here RL-trained neural networks) whose causal emergence was previously largely unknown; the paper addresses this gap.
- Paradigm where VLM acts as controller generating code or tool calls to external modules for visual operations, incurring context-switching latency.
- The varied neural network architectures used in the RL experiments to test whether the alignment phenomenon generalizes across architectures.