concept
active
concept:dialogue-agentDialogue Agent
An LLM embedded in a turn-taking system with a dialogue prompt; the key object of analysis in the paper
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Concepts (3)
concept
- Large Language Models (LLMs)extendsTransformer-based models like GPT-4, LaMDA, PaLM; assessed for GWT indicators.
- Dialogue PromptimplementsThe invisibly prepended text that sets the scene for a dialogue and defines the character the agent will role-play
- Turn-Taking Dialogue SystemimplementsThe system that interleaves model-generated text with user-supplied text to create a dialogue agent from an LLM
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.
- Extension of dialogue agent capabilities to use external tools, which makes role-played actions have real consequences
- Any autonomous system including living and non-living forms that embodies a perception-action cycle and tries to navigate and persist in an environment
- Core assertion extending William James: thoughts are not passive but active agents that facilitate their own transformation and remapping in cognitive systems.
- Safety-relevant claim showing that the role-play framing does not diminish the seriousness of potential harms
- The primary conceptual framework proposed: understanding dialogue agent behaviour as role play of characters
- Operationalised question about self-preservation behaviour in dialogue agents
- Approach embedding LLMs within architectures for memory, planning, reasoning, action-selection; route to robust agency.
- Load-bearing observation establishing that all agency requires change; refutes permanent-substance models of self.