Difference between revisions of "Intellectual rights on the Internet"
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==Paradigms:== | ==Paradigms:== | ||
1. | 1. The Internet is an easy way of sharing intellectual property illegaly and should drastically be changed. peoples actions should be monitored in a better way to prevent these activities. | ||
2. | 2. The notion of intellectual property should be changed. Information should become open to the public when shared on the Internet. Protected information should be kept off the medium and be shared through regular means. | ||
==Experts:== | ==Experts:== | ||
Revision as of 15:11, 4 March 2007
Description:
The internet is an ideal way of sharing information of all types. This information can be distributed trough different means. Documents, pictures, and sounds or just some examples of different media that can be shared. When sharing information it is always important to take the ownership of this information into account. Sharing information without the owners permition is prohibited by law and is thus illegal.
The relative ease in which information can be shared through out the Internet has sparked a big uprise in information that is shared illegaly. The most know example is the sharing of music files (MP3's) through peer-to-peer programs without the artist's concent. By ripping music from a CD individuals can upload it to any other computer linked to the Internet that request that file.The increase of Internet bandwith, CPU speeds and hard disk space has resulted in an increase of shared movie files aswell.
Because of the difficulty to track down individuals who share this information without permition, it is very difficult to put a stop to these practices. Several publishers and artists in the music and movie industries have been trying to put an stop to these practices by various lawsuits geared towards individuals.
Enablers:
1. Technology: better computers, internet connections
2. Different copyright laws: Every country has a different approach to copyright, making Internet sharing more complex
3. Internet pirates: People who are willing to share illegal information
4. Lacking security: Information is easily 'stolen' or ripped
5. Difficulty to track pirates down
Inhibitors:
1. Reluctance to change laws
2. Lack of exchanging information: This is the case not only between different countries but also between providers, police, etc.
3. Conflicting laws: Privacy laws protect pirate's identety in some cases
4. Changes in technology make it impossible to keep up with security issues
Paradigms:
1. The Internet is an easy way of sharing intellectual property illegaly and should drastically be changed. peoples actions should be monitored in a better way to prevent these activities.
2. The notion of intellectual property should be changed. Information should become open to the public when shared on the Internet. Protected information should be kept off the medium and be shared through regular means.
Experts:
Prof. Dr. Hugo de GARIS,
Associate Professor,
Head, Brain Builder Group,
Computer Science Dept.,
Utah State University, USU,
Old Main 423, Logan,
Utah, UT 84322-4205, USA.
tel: + 1 435 797 0959
fax: + 1 435 797 3265
cell: +1 435 512 1826
degaris@cs.usu.edu
http://www.cs.usu.edu/~degaris
Timing:
1933: psychologist Edward Thorndike suggests that human learning consists in the strengthening of some (then unknown) property of neurons.
1943: first artificial neuron is produced (neurophysiologist Warren McCulloch & logician Walter Pits).
1949: psychologist Donald Hebb suggests that a strengthening of the connections between neurons in the brain accounts for learning.
1954: first computer simulations of small neural networks at MIT (Belmont Farley and Wesley Clark).
1958: Rosenblatt designs and develops the Perceptron, the first neuron with three layers.
1969: Minsky and Papert generalises the limitations of single layer Perceptrons to multilayered systems (e.g. the XOR function is not possible with a 2-layer Perceptron)
1972: A. Henry Klopf develops a basis for learning in artificial neurons based on a biological principle for neuronal learning called heterostasis.
1974: Paul Werbos develops the back-propagation learning method, the most well known and widely applied of the neural networks today.
1975: Fukushima (F. Kunihiko) develops a step wise trained multilayered neural network for interpretation of handwritten characters (Cognitron).
1986: David Rumelhart & James McClelland train a network of 920 artificial neurons to form the past tenses of English verbs (University of California at San Diego).
Web Resources:
1. http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html
4. http://www.dacs.dtic.mil/techs/neural/neural_ToC.html
6. http://www.economist.com/opinion/PrinterFriendly.cfm?Story_ID=1143317: The mind's eye