So true. In the perceptual world the moment something is it is not, its only a becoming. For every problem that is solved another one is created , everything is relative and incomplete. Its the false infinite it goes on forever always trying to complete itself but it never does, always getting bigger, smaller, longer but never reaching the end. In the source, things are and are not already, the quantum world, true infinity, beyond the perceptual mind or understanding. Real intuition is a partial return to the source. Humans have the ability to partially merge with the source and in so doing create their future. We are made in the image of God but not in the way modern religion claims. The realization that within us is the source and that everything in this world is only relative, transient and thus in a sense a lie, is spiritual realization. Everything in the perceptual world is the source outside of itself. There is space and there is matter and they appear separate. In the center of galaxies there are black holes. This is where the two, space and matter merge again into the true infinite and all this is within us.
MAESTRO, thank you for an interesting thread. It seems you are well known to most people here but as I am quite ignorant on almost everything in the ET "Who's who", I need to ask -- Are you a trader? Are you a scientist, a software developer, vendor, none of the above or all? I've read your paper on intuition amplifiers, and I read the user manual for the software you promote/sell but I still don't get it -- what is the purpose of the IA's? To improve the performance of a discretionary trader? Feeling a bit stooopid here.
Thanks but no thanks. I'm not into any eastern philosophies that seek to extinguish consciousness on the way to nirvana. surf
Yes. Philosophically speaking there is no division to spiritual and material, everything is everything and everything permanently changes, evolves, adapts to the changes. We live in the world of fuzzy edges mostly, that's why computer based edges tend to stop working as markets change, but trained human brain is able to quickly adapt to the changing conditions and continue to provide an edge, because we have natural adaptation abilities, something human-made algorithms and machines are still long way behind us. A day will come though, I believe, when humans start to create much more advanced, truly thinking and evolving machines, then living beings instead of machines; it's the ladder of evolution as we evolve closer to the Creator and get some of the abilities "activated".
A scientist is an educated fellow who strives to satisfy his/her curiosity for someone elseâs expense. There are three major flavors of scientists: 1. Academia scientists 2. Military/Government scientists 3. Commercial private or public company scientists Each of those flavors has its pros and cons. For example, Academia scientists could have all sorts of freedoms to share their work, have nicely paid sabbaticals, their own work schedules, highly flexible work hours and no rigid work places. However, the funding could be a hustle, salaries are not very high and dealings with the large and generally lazy herd of students could be annoying. Military/Government science people would have nice pay, excellent job security, virtually unlimited funding and resources, however, publications, sharing and open dialogs with their peers could be restricted and the work schedules along with the work hours could be tight not even mentioning the highly secure and secretive environment with endless security passes, codes and strict confidentiality closes in the employment contracts. Commercial scientists could have nice pay, reasonable funding, negotiable work hours and work locations, good quality lab equipment and reasonable travelling abilities. They are also allowed to share some of their results (as long as it does not hurt the business and does not give away some sensitive material to their competition). In many occasions commercial scientists would have shares in their companies and participate in the company incentive programs that could be quite lucrative! On the flip side, working in the commercial environment puts some pressure in terms of timing, research deliverables and possible research area restrictions (only commercially viable research is usually permitted). Also, by working in such companies scientists are often obligated to participate in the companyâs marketing campaigns, support the companyâs sales and advertisement efforts etc. which could be a drag. Over my almost 40 years scientific career I have worked in all three types of organizations. I have started as a professor in a transport academy teaching theory of electric circuits and fundamentals of electronics while working on a few commercial projects in the areas of intelligent power electronics and sophisticated thyristor cycle-converters. My first Ph.D. was in the same area of science. Then I moved to a government/military position where I worked in the areas of telemetric control of remote objects and decision making support systems for different military aircrafts, space objects and other remote vehicles designed for autonomous operations in the hazardous environments. It was lots of fun and hard work. I have learned a great deal of leading edge stuff and was involved in quite a few very exciting projects. I have defended my second Ph.D. in the area of bio-cybernetics and Artificial Intelligence in 1985 and received one of the highest governmentâs awards for one of my projects which I have based my Ph.D. on. At the same time I started to study Mathematical and Cognitive Psychology along with some specific areas of computer science and neurobiology. After that I went to commercial sector where I was building things ranging from intelligent lighting systems to medical devices etc. Got around 30 international patents and earned some recognition there too. Around 1993 I have introduced myself to markets as a possible area of implementation for my ideas in associative and intuitive decision making. In this industry I worked in a few different companies and currently I am with the one that develops decision making tools for traders and implements them through its internal prop groups, affiliated hedge funds and licenses tools to institutions. The companyâs systems are part of Bloomberg APP portal and have been used by the hundreds of large financial institutions. Although I am somewhat obligated to participate in the companyâs marketing and sales efforts, I have quite considerable freedoms for sharing some of my work and knowledge through informal and free communication channels one of which happened to be ET. Right from the beginning I have established here that I will not participate in any commercial talks and will not answer any questions with regards to my companyâs products and services. I am here to share, discuss, learn and educate; nothing more, nothing less. I hope it answers your question. Cheers, MAESTRO
Although there could be hundreds of different angles of how one could approach the phenomenon of Intuition my research only focuses on the area of objectively measurable characteristics of decision making that occurs in the human-machine environment. The main purpose of my research is to build the algorithms and devices that could significantly enhance humanâs natural abilities to make subliminal, intuitive decisions in extremely dynamic and highly unpredictable environments. The research itself is conducted via building the theoretical models of such psychological phenomenon as perception, sentiment etc. as well via extensive experimentation with human subjects during their trading activities. The results of my research are usually implemented through the specific applications that could be run as computer programs or as physical electronic devices. This thread talks about some ideas that I have been developing. Its purpose is to ignite the interest to this unusual area of psychological research and spark some fruitful discussions on the subject.
A bit of a slow day here, so I'll take some time to suggest to you a new career arc. You say you are concentrating on improving the efficacy of decision making in stressful conditions. That implies to me that you know what the right decisions are. If so, it seems to me that you should be quantifying the right decisions computationally and skipping the human decision making. That's what I do. I don't want to make decisions. It hurts my old head.
My interests are not necessarily limited to the outcome of the ârightâ decisions. My fascination with human brain and its abilities that I discuss here is mostly theoretical and philosophical. I do have a commercial arm that has âcomputationalâ, AI based black boxes that trade. It is not what I want to discuss here.
Dommage. So if human decision making is the focus, how do you decide what market characteristics the human should be basing decisons on? No point in hurting your head making split-second decisions about things that don't count.
Now that is a good question! In order to answer it let us think of what characteristics of the environment are crucial to us when we drive a car or fly a plane. Many researchers (including myself) agree that the most critical component of the information about our environment is the frame of reference. It enables us to create our decisions both in time and space and it is the most fundamental knowledge that is required to make the right decisions. The more efficiently we as humans can get this information the faster, better, more accurate decisions we can make. If we also can represent this information in a format that enables us to use our sub-consciousness we then can free up our Logic and start to adapt to the environment much better. One of the ways to achieve this enhancement is by creating much more intuitive visualization devices that could convert the signal into a shape or an image that triggers our visual cortex abilities to intuitively recognize it. That is what I am working on in a nutshell.