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2011. 6. 9. 20:36 Literacy
The Psychology of Art and the Evolution of the Conscious Brain
Robert L. Solso
The MIT Press, 2003
google books: http://books.google.com/books?id=z_cQJgAACAAJ


APS(Association for Psychological Science): Robert L. Solso (1933-2005)  


- To develop connections between cognitive psychology and the related fields of anthropology, computer science, education, linguistics, neuroscience, and philosophy

Stephen E. Palmer http://psychology.berkeley.edu/faculty/profiles/spalmer.html
Visual Perception and Aesthetics Lab @UCB http://socrates.berkeley.edu/~plab/

http://en.wikipedia.org/wiki/Vision_science

[Cognition and the Visual Arts] The MIT Press, 1994 - google books: http://books.google.com/books?id=zaQCKizo0_8C



Preface

“Art and cognition, and the brain, and consciousness, and evolution have all stood as complex mirrors, all reflecting and amplifying each other.”

In searching for a rational connection between consciousness and art, it was necessary to examine the evolution of the human brain and cognition. Out of these scientific explorations, I have developed a new model describing the evolution of consciousness and its relationship to the emergence of art.


conscious AWAREness

We have a pretty good idea, for example, as to when and how the human brain evolved and when early art emerged, and we have a sound understanding of the workings of the sensory-cognitive system. With this knowledge in hand, it is propitious to consider the evolution of the human brain and the emergence of AWAREness, as they might be related to art. As the brain increased in size and capacity during the upper Pleistocene, additional components of consciousness were added or developed. People became more AWARE in the sense that they were more cognizant, not only of a world that existed in contemporaneous actuality, but of a world that could be imaged. That change took humankind on a wondrous voyage. Men and women could imagine nonpresent things such as what might be behind a bush, where fresh water might be found, and what a nonpresent bull might look like. While other animals had some forms of consciousness, the visionary aptitude of humans to extend consciousness beyond responding to moment-to- moment sensory experiences was spinning into new possibilities previously unseen on this earth. Equipped with expanded conscious AWAREness, people first created art and then technology. The beginning of art is a clear manifestation of the brain’s capacity for imaginative behavior.

All factors—brain, anthropology, cog- nition, and art—were tied together by human consciousness.



Introduction: Art . . . a Tutorial












 
posted by maetel
2010. 12. 14. 20:02 Computer Vision
Michael I. Jordan & Christopher M. Bishop, "Neural Networks", In Tucker, A. B. (Ed.) CRC Handbook of Computer Science, Boca Raton, FL: CRC Press, 1997.
download: http://www.cs.berkeley.edu/~jordan/papers/crc.ps







1. Introduction


Neural network methods have had their greatest impact in problems where statistical issues dominate and where data are easily obtained.

"conjunction of graphical algorithms and probability theory":
A neural network is first and foremost a graph with patterns represented in terms of numerical values attached to the nodes of the graph and transformations between patterns achieved via simple message-passing algorithms. Many neural network architectures, however, are also statistical processors, characterized by making particular probabilistic assumptions about data.


Based on a source of training data, the aim is to produce a statistical model of the process from which the data are generated so as to allow the best predictions to be made for new data.

statistical modeling - density estimation (unsupervised learning), classification & regression

density estimation ("unsupervised learning")
: to model the unconditional distribution of data described by some vector
- to train samples and a network model to build a representation of the probability density 
- to label regions for a new input vector
 
classification & regression ("supervised learning")
: to distinguish between input variables and target variables
- to assign each input vector to one of classes and target variables to class labels 
-> estimation of conditional densities from the joint input-target space



2. Representation

2.1 Density estimation

To form an explicit model of the input density

Gaussian mixture distribution







2.2 Linear regression and linear discriminants






posted by maetel
중앙대학교 심귀보 Kwee-Bo Sim

http://alife.cau.ac.kr/korean/sub01/GAs.html

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2007. 5. 29. 03:16 Computation
Fundamentals of network media
Basic course in data communications and networked digital media. Networking and data communications discussed from viewpoints of computer and telecommunication networks. Computer graphics and virtual reality. Digital media and production of contents.

-> read Lectures

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posted by maetel