[Amdnl] Your are welcome to submit papers to the Brain-Mind Magazine

[Juyang Weng]

Dear All,

You are invited to recommend this new magazine to your colleagues and 
submit papers to it.

The BMM publishes contributions related to brain, mind, life, 
intelligence, law, policy, society, politics, and beyond. The subject 
scope includes all subjects that a brain can learn to deal with. Public 
oriented analysis about the science behind natural phenomena is 
especially welcome.

The BMM explores ways to alleviate limitations of a peer review system. 
The editors of BMM do not reject a contribution based on typical 
criteria in a peer review system, such as whether the position expressed 
is supported by sufficient evidence, whether the direction of the 
article is acceptable by the majority of a community, or whether the 
view is what public is comfortable to hear. New knowledge always starts 
from a single person.

Your suggestions for improving this new kind of magazine are also welcome.

-Juyang Weng



      Brain-Mind Magazine
      Vol. 1, No. 1, June 2012
      http://www.brain-mind-magazine.org/


      Table of Contents

Start a Different Kind of Magazine 
<http://www.brain-mind-magazine.org/download-article.php?file=V1-N1-BMMsubm.pdf> 
              1
by /Juyang Weng /

Brain-Mind Institute: For Future Leaders of Brain-Mind Research 
<http://www.brain-mind-magazine.org/download-article.php?file=V1-N1-BMI-Flyer-3-A4Size.pdf> 
              2

Open Letter to the US President Obama: Is the US Foreign Policy 
Scientifically Shortsighted? 
<http://www.brain-mind-magazine.org/download-article.php?file=V1-N1-Obama.pdf>banner             3 
- 4
by /Juyang Weng /
*Abstract: *All minds are groupish and shortsighted in nature. The 
aftermath of Richard Nixon's China visit demonstrated that a 
scientifically correct foreign policy is to make friends with foes, 
counter intuitive to many souls. Our brains blinded us. Scientific 
principles, e.g., checks-and-balances of government power, seem more 
convincing and effective in converting foes than shallow and ideological 
slogans like "human rights".
*Index terms: *brain, science of mind, foreign policy

Brain Stories 1: Naivety in Everybody 
<http://www.brain-mind-magazine.org/download-article.php?file=V1-N1-BrainStories1.pdf>banner             5 
- 6
by /Brian N. Huang /
*Abstract: *Meant for layman readers, this series uses real world 
stories to explain how a single brain works computationally inside its 
skull and how multiple brains work together to give rise to group 
intelligence. Hopefully, this series is useful for us humans to see the 
weakness of our current governing systems, in developed countries and 
developing countries alike, and how a country can develop earlier and 
better. It also explains some key mechanisms to make a robot learn 
skills that its human programmer does not have. This installment is 
about naivety, in childhood and adulthood; in you and in your officials. 
Brains are naive for various tasks, making strategic errors with high 
costs. This installment raises a few nation-scale naiveties to be 
discussed in future installments of this series.
*Index terms: *brain, mind, law, group intelligence

Problem Solving to Problem Posing 
<http://www.brain-mind-magazine.org/download-article.php?file=V1-N1-ProblemPosing.pdf>banner             7 
- 8
by /Yoonsuck Choe /and/Timothy A. Mann /
*Abstract: *Artificial intelligence and machine learning approaches are 
both very good at problem solving. However, the various methods 
accumulated in these fields have not been able to give us truly 
autonomous agents. The main shortcoming is that the problems themselves 
are formulated by human designers and subsequently fed to the problem 
solving or learning algorithms. The algorithms do not question the 
validity of the problems nor do they formulate new problems. This latter 
task is called "problem posing", and is in fact an active area in 
education research. In this article, we will discuss the importance and 
relevance of problem posing to autonomous intelligence and speculate on 
key ingredients for effective problem posing in an AI and machine 
learning context.
*Index terms: *problem posing, education, artificial intelligence

Why Should the CVPR Community See that Output Is Not Only Output? 
<http://www.brain-mind-magazine.org/download-article.php?file=V1-N1-VisionSee.pdf>banner             9 
- 10
by /Christopher S. Masfis /
*Abstract: *The currently prevailing methods in the computer vision and 
pattern recognition (CVPR) community require images for system training. 
Many of such methods require manually drawn object contours to segment 
the pixels from each object of interest from those pixels in other parts 
of the image. Does a human child require such object-contour annotation 
to learn how to detect, recognize, and segment objects from cluttered 
natural scenes? Weng argued for a negative answer. He explained that a 
brain autonomously learns directly from its physical environment using 
not only non-annotated continuous video of dynamic and cluttered scenes, 
but also its video-synchronized actions --- output is also input. 
Body-environment interactions give rise to brain representations. In 
particular, contour annotation is not necessary for a brain, neither for 
a machine.
*Index terms: *pattern recognition, computer vision, brain


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