Computational Limits to Human Thinking in a Society With Too Much Information And Too Little Time

Опубликовано 22 июня 2016, 3:10

This talk is about Computational Limits to Human Thinking. Human beings make errors, tend to forget, are impatient and look for least effort solutions. Such limitations, sometimes, lead to catastrophic results. At the same time, humans learn with experience, tolerate error and ambiguity, use vast amounts knowledge, and communicate using speech and language. Such features are still lacking in most of our systems. Most systems don’t get better with experience. We cannot even send routine voice emails and video emails without using Skype or some such. Most importantly, we are severely lacking in tools for coping with 21st century world of “too much information and too little time”. In this talk we will present two families of intelligent agents, viz., “cognition amplifiers” and “guardian angels” to help with problem of scarcity of attention. A Cognition Amplifier is a personal autonomic intelligent agent that anticipates what you want to do and helps you to do it with less effort. A Guardian Angel is a personal autonomic intelligent agent that discovers and warns you about unanticipated, possibly catastrophic, events that could impact your safety, security, and wellbeing. Both Cogs and Gats are enduring, autonomic, nonintrusive intelligent agents which are always-on, always working, and always-learning. It is anticipated that future “Steve Jobs” will emerge from those who are passionate about such human needs and understand human limitations.