Re: Catalog of Biases

Bias can result from poor knowledge modeling, but IMHO when we conduct scientific research bias arises from (1) the scientific method domain of research specific implementation, (2) instrumentation bias, both in (i) technical, (ii) data recording, (iii) significant numbers of data, (3) observer caused bias where the mere observation itself causes a perturbation in the observed system.
The resulting knowledge modeling bias can only be corrected if the qualitative and quantitative aspects of (remote) sensory input are fully understood.
Here is where neuroscientists, cognitive scientists, psychologists, philosophers and physicists come in.
There is no SINGLE knowledge representation scheme. But only categories of knowledge representation.
We can use AI and category theory to find which categories of KR are most suited for each domain of scientific discourse.
For each well established category knowledge modeling bias can then be corrected by appropriate KR schemes.

Milton Ponson
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    On Saturday, April 18, 2020, 5:19:26 AM ADT, Paola Di Maio <paola.dimaio@gmail.com> wrote:  
 
 This is a very good find for mehttps://catalogofbias.org/biases/  and hopefully also for fellows on the lists
I am researching bias as a pathology resulting from poor knowledge modelling, the remedy is knowledge representation
It happens to be structured as a taxonomy, what fun
PDM