dc.contributor.author |
Degamboda, S. |
en_US |
dc.date.accessioned |
2014-11-19T04:50:53Z |
|
dc.date.available |
2014-11-19T04:50:53Z |
|
dc.date.issued |
2003 |
|
dc.identifier.citation |
Degamboda, S. 2003. Let science and intuition work together. Journal of Science of the University of Kelaniya, 01: 119-124. |
|
dc.identifier.issn |
ISSN 1391-9210 |
en_US |
dc.identifier.uri |
|
|
dc.identifier.uri |
http://repository.kln.ac.lk/handle/123456789/4230 |
|
dc.description.abstract |
Docs modern science, which depends totally on inductive and deductive investigation methodologies give us absolute knowledge, or is there another mode of generating knowledge out side these two methodologies? This paper attempts to explain that modern science has inherited the mankind, during its existence of over three hundred years, a body of knowledge, which is not only uncertain and transient, but also is relative. The very nature of the way the universe presents itself to us and human limitations prevent scientists from generating a body of knowledge that is absolute, or at least reliable. This study reveals that in some instances new knowledge have emerged in ways not akin to scientific investigation methodology. This source of
knowledge is popularly referred to as intuition, but not much work has been done to ascertain the process and realities of intuitive knowledge. A conceptual model of the
brain enables us to visualize it as having right and left halves and that those who are stronger on the right can get intuitive sparks that may become seeds of new knowledge.
The paper concludes that scientific explorations could be complemented by intuition,which emanates from the right brain and directed training could develop right brain
skills . |
en_US |
dc.publisher |
Journal of Science of the University of Kelaniya Sri Lanka |
en_US |
dc.subject |
Inductive and deductive methodology; evolution of knowledge; intuition; linear and divergent thinking |
en_US |
dc.title |
Let science and intuition work together |
|
dc.type |
article |
en_US |
dc.identifier.department |
Statistics |
en_US |