Conversational Agents and the Understanding of Human Language: Reflections on AI, LLMs, and Cognitive Science
Conversational Agents and the Understanding of Human Language: Reflections on AI, LLMs, and Cognitive Science explores This paper reflects on the theoretical relationship between NLP and human language understanding, concluding that current AI has not advanced our cognitive science insights.. Commercial viability score: 2/10 in LLM Research.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Prior WorkArgumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For UsViability: 2.0
- Prior WorkA Context Alignment Pre-processor for Enhancing the Coherence of Human-LLM DialogViability: 2.0
- Higher ViabilityCognitive Models and AI Algorithms Provide Templates for Designing Language AgentsViability: 3.0
- Higher ViabilityEmulating Aggregate Human Choice Behavior and Biases with GPT Conversational AgentsViability: 5.0
- Higher ViabilityToward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions