AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes Urban-Agent, a tool-augmented agent framework for cross-system urban tasks that couples the cognitive and reasoning capabilities of a large language model with a tool-set supporting code execution, API calls, and Model Context Protocol.
A rule-based memory framework that induces reusable logical rules from historical interactions to guide both evidence retrieval and reasoning, and constructs natural-language Horn clauses from conversations and validates them via a Rule Perplexity Consistency (RPC) mechanism.
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