Although I have always been interested in the mind and thinking, I have been suspicious of psychology and the cognitive sciences. Recently, I’ve been impressed by several TED Talks that address new ideas in the sciences of the mind. These subjects are starting to provide valuable insights into how the world really works. It is still wise to be skeptical, but we might have made enough mistakes in psychology that we now have some groundwork upon which to start figuring out what is really going on in our heads.

So I was delighted with the chance to go into more depth in the science of decision making by reading Jonah Lehrer’s 2009 book How We Decide and participating in a discussion with the Ben Franklin Thinking Society. First, some overall impressions of the book. I thought Lehrer gave a good account of how the emotional brain works and some strengths and weaknesses in our decision making. I really value how he presents so many examples of experiences and experiments to illustrate the subject. His conclusion, though adequate, did not bring it altogether for me (cognitive dissonanace is a good thing and it helped me write this post!). Jeannie was turned off by Lehrer’s bone-chilling accounts of airplane crashes and psychopaths. However, we both learned a lot about the neuroscience of decision making. For me it was a good read, if not a great book.

The nature of emotions

One major omission from the book was the lack of a diagram showing the relationships among the brain regions discussed. Jeannie drew a rough sketch entitled Brain Turmoil below to give some sense of how the pieces fit.Brain Turmoil by Jeannie Moberly

Apparently, the brain uses dopamine-mediated “prediction” neurons to recognize patterns (a dopamine “high” if the pattern fits and a “low” if the pattern is “off”). This effect delivers our “feelings” to a decision making center in the orbitofrontal cortex (OFC). In Lehrer’s synthesis the brain considers these often conflicting signals from its various parts until it forms a decision. Jeannie’s designation Brain Turmoil is apt: chapter 7 is entitled “The Brain Is an Argument”.

As I re-read Lehrer’s text trying to pinpoint what emotions are, I found his description too vague. Still I synthesized this working hypothesis: emotions are the self-communicated feelings, intuitions, or instincts formed by dopamine-mediated pattern detection centers in the brain. This gives a nice concrete notion of the nature of emotions that seems to fit well enough with the text and my experience. Does anyone know a better characterization of emotions?

Mistake Mystique

The message from the (sometimes excessively repetitive) middle part of the book is that both our “rational” and “emotional” brains can make serious mistakes. Lehrer recounts the emotional brain’s proclivity to find a pattern in any situation leading to grave errors whenever randomness is in play. For example, he explains the gamblers fallacy where one is rapturously deceived by occasional but completely random winnings leading to thoughts that “my turn has come” and the likelihood of bigger losses. He debunks the notion of streaks in sports citing the research of Gilovich, Vallone & Tversky that shows they are just random events that our brain misinterprets. There are more stories of this nature in the book. I had already encountered several from reading Fooled by Randomness by Nassim Nicholas Taleb which goes into great depth on this deficiency in the brain. Taleb details our weaknesses, but Lehrer also highlights some of our strengths and addresses how to make better decisions.

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For the past couple of years, Jeannie and I have been engaged as students using so-called “open educational resources” (OER). We’ve “taken” a number of courses at MIT’s OpenCourseWare (OCW), OpenYaleCourses as well as dabbling in material from numerous other schools around the Internet.

I first read Buckminster Fuller’s short book Education Automation many years ago. I was amazed at Fuller’s foresight in advocating so much of what has now become the OER movement. Then a week ago I led a Ben Franklin Thinking Society discussion on Buckminster Fuller and the Open Educational Resources Movement. Here are my reflections on what I learned from preparing and participating in that discussion.

The Open Educational Resources (OER) Movement

The OER movement is simply an Internet-powered expansion of the time-honored practice of students and teachers sharing materials and ideas. On the Internet this sharing can include video and guided tutorials as well as traditional media such as lecture notes, homework assignments, textbooks, and exams. All of these materials were more difficult and more expensive to share before high-bandwidth Internet and modern computer systems became widespread. A group of educators has tried to define the OER movement in the 2007 CapeTown Open Education Declaration. Here is a short excerpt which gives the gist:

Unlocking the promise of open educational resources

We are on the cusp of a global revolution in teaching and learning. Educators worldwide are developing a vast pool of educational resources on the Internet, open and free for all to use. These educators are creating a world where each and every person on earth can access and contribute to the sum of all human knowledge. They are also planting the seeds of a new pedagogy where educators and learners create, shape and evolve knowledge together, deepening their skills and understanding as they go.

During the discussion, I asked participants if they had used any OER materials. Many of them had not. But I was excited to learn that one of the participants studied Linear Algebra with video lectures by Gilbert Strang. Jeannie and I put more time into that excellent course (even doing all of the homework, quizzes, and two and a half final exams) than any other OER course we’ve worked through.

As a self-learner, one of the most important elements of OER courses to me is that I can choose how to use the materials (unlike in school where one is more or less told what to do). For example, there are some courses where I just want an overview or a feeling for the subject, but I may not need to master the material. Like when we studied Introductory Biology at MIT’s OCW, we watched the videos and only briefly looked at the lecture notes. We skipped the homework and the tests. We quickly ignored the parts that were not, at that moment, of interest. I think this is a big improvement over school where I frequently suffered from wanting to go into more depth than the course in some parts and less depth in others. Using OER I can get the education I want, when I want it!

It should be noted that the OER movement has been partly inspired (according to this good review article on open educational resources in Communications of the ACM) by the FOSS (Free and Open Source Software) movement. I find this fascinating since I have long been involved in the FOSS / Linux world (I’ve written about that extensively in the managing FOSS blog). Fuller’s global vision has foreseen elements of both movements.

To find out more about OER, the wikipedia entry http://en.wikipedia.org/wiki/Open_educational_resources can get you started.

Buckminster Fuller on Education: Prescient Harbinger of the OER Movement

To prepare for the Ben Franklin Thinking Society discussion, I re-read Education Automation twice. That led to these five quotes on Bucky’s thinking on education including how he foresaw elements of the OER Movement. The quotes and my commentary expand the discussion to address some broader issues in education as well. The quotes are all from Education Automation which was published way back in 1962.

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Welcome to the Syntropy Blog

datePosted on 22 October 2010 by cjf

I enjoy writing my other blog which is Managing FOSS (Free and Open Source Software) for Business Results. But I keep wanting to write about things that are far afield from the computer side of my life, so I thought it was time to start a blog with a more general purview.

Although, as is my wont, this blog is rather ambitiously scoped to support increasing syntropy in local Universe, I deeply understand that trial-and-error is the only way we humans learn. So I expect to make a lot of mistakes (the alternative is to learn too little which is less interesting).

With your help, dear reader, and your feedback, I am sure that we can work through any issues and work together “in support of eternally regenerative Universe” (a Buckminster Fuller expression that I particularly like).

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