We present a schema and an algorithm to promote ecological thinking. It is based on alternating between focus and exploration, zooming in and zooming out. An increased level of variability in thinking also makes it more diverse and, thus, adaptable, robust, and resilient.
Most mind mapping tools have a cold start problem, which can be overcome using a GPT3 AI text generator. We can then visualize the ideas as a text network and use the insights from graph theory to analyze the relations and reveal the main topics and structural gaps within
GPT-3 is an AI-based model that can be used to generate high-quality texts. In this article, we will demonstrate how GPT3 can be used as a writing assistant using InfraNodus text network analysis tool to generate better results.
Any discourse can be represented as a network. A narrative, then, is a path through this network. Depending on how the journey is made, the meaning changes. Measuring the dynamics of this movement through ideas can help us understand how they propagate, and how this dynamic structure of meaning unfolds in time.
Many AI writing assistants today are focused on generating the text that provides the answers. What if we used the AI to generate questions? In this case, it would not think for us, but with us. Helping us discover new perspectives and ways of seeing things.
