Лекции 25 сентября

Понедельник, 25 сентября, Морской зал ДВФУ

Lecture 1

The Primary Language I: From Primary to Conventional Science

This is the first lecture in a series of lectures on the Primary Language, a Language of Visual Streams (LVS) or the so-called mental movies. Our hypothesis about the structure of the Primary Language of the human brain goes back to J. von Neumann who hypothesized its existence in 1957. According to von Neumann, the Primary Language should have empowered all the Secondary languages, i.e., human symbolic languages and sciences. I will explain how this is accomplished with introduction of the LVS. This lecture includes the details of communication between the primary and conventional languages and demonstrates examples of such communication. Visual streams, the components of the Primary Language, operate via multiple thought experiments. There are various types of streams including communication and internal streams as well as mundane and science streams. The communication streams include expression and impression streams. The expression streams pass information from the internal streams to the outer world via converting it into the strings of symbols and pictures while the impression streams pass information in the opposite direction. The science streams may generate new knowledge because they include the discovery streams controlled by the Algorithm of Discovery (AD). We assume that there exists a universal AD, the ultimate tool utilized by the human brain for discovering new algorithms and perfecting the existing ones. One of the goals of our research is to understand the AD to the level which will permit producing discoveries on demand. Several examples of discoveries rediscovered employing the simulated AD are given in other lectures titled “The Primary Language II and III...”

Lecture 2

The Primary Language II: Discovering Structure of DNA and Differential Calculus

This lecture continues a series of lectures on the Primary Language, a Language of Visual Streams (mental movies). The Algorithm of Discovery (AD) is the major algorithm based directly on the Primary Language. The AD makes discoveries via visual streams within the primary science and then reflects them in the secondary science, the conventional one. The AD operates via initiating thought experiments, programing them, and executing them in due course. The streams are focused employing various themes including proximity and mosaic reasoning. In this lecture, I will demonstrate execution of the AD on two examples of discoveries. These examples include different reasoning themes and different communication between the primary and conventional science. Each example consists of a series of thought experiments that turn a piece of the primary science to the conventional one. Those examples include discovery of the Double Helix, the structure of DNA (by Watson and Crick) and discovery of the formulas of differentiation (by Newton and Leibnitz).

Lecture 3

University Spin-off in the USA: How We Turned Idea into Reality

In the USA, many research-oriented start-ups are the university spin-offs, i.e., they were originally created within the university’s environment. I will describe chronologically the process of creation, survival, and subsequent take-off of such companies on example of STILMAN Advanced Strategies, the company created in 1999 based on my research in Linguistic Geometry, a type of Game Theory (within AI). Intelligent software tools developed at STILMAN for the US Army are currently considered vital for the US national defense. This lecture includes a comparison of roles of investors, competitive government contracts, large businesses, and foreign sources in obtaining working capital for small companies. The emphasis is on the US government system of competitive awards, especially, in defense, including SBIR (Small Business Innovation Research) as well as those from the federal agencies such as DARPA (Defense Advanced Research Agency), AFRL (Air Force Research Laboratory), etc. I will provide details of the relationship of a university and spin-off businesses. Special attention will be payed to the role of customers in developing new problem domains, theoretical ideas, and turning those ideas into working systems.