Rat big, cat eaten! Ideas for a useful deep-agent protolanguage
Deep-agent communities developing their own language-like communication protocol are a hot (or at least warm) topic in AI. Such agents could be very useful in machine-machine and human-machine interaction scenarios long before they have evolved a protocol as complex as human language. Here, I propose a small set of priorities we should focus on, if we want to get as fast as possible to a stage where deep agents speak a useful protolanguage.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Zero-Shot Generalization using Intrinsically Motivated Compositional Emergent Protocols
Human language has been described as a system that makes \textit{use of finite means to express an unlimited array of thoughts}. Of particular interest is the aspect of compositionality, whereby, the meaning of a compoun…
Zero-shot GeneralizationScholarEval: Research Idea Evaluation Grounded in Literature
As AI tools become increasingly common for research ideation, robust evaluation is critical to ensure the validity and usefulness of generated ideas. We introduce ScholarEval, a retrieval augmented evaluation framework t…
Evaluation and Facilitation of Online Discussions in the LLM Era: A Survey
We present a survey of methods for assessing and enhancing the quality of online discussions, focusing on the potential of LLMs. While online discourses aim, at least in theory, to foster mutual understanding, they often…
SurveyTowards autonomous quantum physics research using LLM agents with access to intelligent tools
Artificial intelligence (AI) is used in numerous fields of science, yet the initial research questions and targets are still almost always provided by human researchers. AI-generated creative ideas in science are rare an…
AI as Friction for Reflection Support in Ideation
Generative AI tools for creative work tend to be designed around the goal of removing friction, on the assumption that smoother iteration and faster output translate into more value for the designer. We argue, however, t…