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29 wrz 2024 · As a data scientist, I appreciate the step-by-step approach to building agents with Python. Your explanations make complex concepts accessible and practical. Follow
15 cze 2014 · From the Python docs: import urllib.request. req = urllib.request.Request( url, . data=None, . headers={ 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36' } ) f = urllib.request.urlopen(req) print(f.read().decode('utf-8'))
Python program that implements an agent that can solve Block World problems optimally (in the minimum number of moves) for an arbitrary initial arrangement of blocks (A-Z, 26 blocks maximum) using Generate & Test and Means-Ends Analysis techniques.
22 godz. temu · Multiagent systems (MAS) represent a groundbreaking trend in the development of AI-driven solutions. By allowing multiple agents to collaborate, each with its own area of expertise, MAS dramatically enhance the efficiency and effectiveness of large-scale problem-solving tasks. With Python tools like LangChain, implementing multiagent systems is ...
3 dni temu · uAgents: AI Agent Framework. uAgents is a library developed by Fetch.ai that allows for creating autonomous AI agents in Python. With simple and expressive decorators, you can have an agent that performs various tasks on a schedule or takes action on various events.
AgentPy is an open-source library for the development and analysis of agent-based models in Python. The framework integrates the tasks of model design, interactive simulations, numerical experiments, and data analysis within a single environment.
Hence agent programs for real world problems (8-puzzle) using python are developed.
