The fundamental equation of information and its generalizations

1987 ◽  
Vol 33 (2-3) ◽  
pp. 150-182 ◽  
Author(s):  
Wolfgang Sander
Keyword(s):  
Fundamental Equation ◽  
Fundamental Equation Of Information

A Shannon-Like Solution for the Fundamental Equation of Information Science

2014 ◽  
pp. 516-524
Author(s):  
Alexandre de Castro
Keyword(s):  
Information Technology ◽  
Cognitive Process ◽  
Information Science ◽  
Feasible Solution ◽  
Fundamental Equation ◽  
Knowledge Structure ◽  
Quantitative Approach ◽  
Seminal Paper ◽  
Amount Of Information ◽  
Fundamental Equation Of Information

In a seminal paper published in the early 1980s titled “Information Technology and the Science of Information,” Bertram C. Brookes theorized that a Shannon-Hartley's logarithmic-like measure could be applied to both information and recipient knowledge structure in order to satisfy his “Fundamental Equation of Information Science.” To date, this idea has remained almost forgotten, but, in what follows, the authors introduce a novel quantitative approach that shows that a Shannon-Hartley's log-like model can represent a feasible solution for the cognitive process of retention of information described by Brookes. They also show that if, and only if, the amount of information approaches 1 bit, the “Fundamental Equation” can be considered an equality in stricto sensu, as Brookes required.

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