| |
|
|
| class KnowledgeResearchModel: |
| def __init__(self): |
| self.knowledge_base = {} |
|
|
| def conduct_research(self, topic, depth="deep"): |
| print(f"KRM conducting {depth} research on topic: {topic[:50]}...") |
| |
| research_results = {"topic": topic, "findings": f"Comprehensive findings on {topic[:20]} from various sources.", "sources": []} |
| self.knowledge_base[topic] = research_results |
| return research_results |
|
|
| def synthesize_information(self, topics): |
| print(f"KRM synthesizing information from topics: {topics}...") |
| |
| return f"Synthesized report on {', '.join(topics)}." |
|
|
| def get_expertise(self, domain): |
| print(f"KRM retrieving expertise for domain: {domain}...") |
| |
| return f"Expert knowledge on {domain} including works of Tesla, Huxley, Einstein, etc." |
|
|
| if __name__ == "__main__": |
| krm = KnowledgeResearchModel() |
| print(krm.conduct_research("quantum mechanics")) |
| print(krm.synthesize_information(["quantum mechanics", "philosophy of mind"])) |
| print(krm.get_expertise("Nicola Tesla")) |
|
|
