This research introduces Cohen’s Agentic Conjecture (CAC), proposing that an artificial intelligence system integrating fast, neural heuristics (System 1) with slow, symbolic logic (System 2) through a dynamic gating mechanism can exhibit emergent agentic properties. These properties include context-aware decision-making, self-directed learning, robust reasoning, and reflective self-correction. Drawing inspiration from dual-process cognitive theories and neuro-symbolic AI paradigms, this work formalizes CAC, presents a comprehensive Python implementation, and validates the conjecture through empirical experiments. The findings demonstrate that CAC-enhanced systems outperform purely neural or purely symbolic counterparts in terms of accuracy, interpretability, and adaptability. This framework lays the groundwork for developing next-generation AI agents capable of autonomous, reliable, and
Shaun LieBieS
LieBieS
/ asp_get_base_url.cs
Created
October 13, 2022 11:27
— forked from kmlprtsng/asp_get_base_url.cs
Get Base URL or a part of URL
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| //*************** Solution 1 **************/ | |
| // http://forums.asp.net/t/1466607.aspx/1 | |
| //http://forums.asp.net/t/1383898.aspx | |
| //would return http://localhost:2013 or http://localhost:2013/ApplicationPath | |
| return string.Format("{0}://{1}{2}", | |
| HttpContext.Current.Request.Url.Scheme, | |
| HttpContext.Current.Request.ServerVariables["HTTP_HOST"], |