The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Knowledge, Truth, and Values in Computer Science
Abstract
Among empirical disciplines, computer science and the engineering fields share the distinction of creating their own subject matter, raising questions about the kinds of knowledge they engender. The authors argue that knowledge acquisition in computer science fits models as diverse as those proposed by Piaget and Lakatos. However, contrary to natural science, the knowledge acquired by computer science is not knowledge of objective truth, but of values.
Related Content
|
G. Sowmya, R. Sridevi, K. S. Sadasiva Rao, Sri Ganesh Shiramshetty.
© 2025.
36 pages.
|
|
Srinidhi Vasan.
© 2025.
20 pages.
|
|
Arul Kumar Natarajan, Yash Desai, Pravin R. Kshirsagar, Kamal Upreti, Tan Kuan Tak.
© 2025.
26 pages.
|
|
R. Leisha, Katelyn Jade Medows, Michael Moses Thiruthuvanathan, S. Ravindra Babu, Prakash Divakaran, Vandana Mishra Chaturvedi.
© 2025.
40 pages.
|
|
Rituraj Jain, Kumar J. Parmar, Kushal Gaddamwar, Damodharan Palaniappan, T. Premavathi, Yatharth Srivastava.
© 2025.
32 pages.
|
|
Anya Behera, A. Vedashree, M. Rupesh Kumar, Kamal Upreti.
© 2025.
30 pages.
|
|
Neha Bagga, Sheetal Kalra, Parminder Kaur.
© 2025.
30 pages.
|
|
|