Knowledge representation for knowledge based leadership system

Authors:
Ronald L. Hartung;Anne Håkansson
Affiliations:
Department of Computer Science, Franklin University, Columbus, Ohio;Department of Information Science, Computer Science, Uppsala University, Uppsala, Sweden
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

Citing 4
Cited 0

Tell Me a Story: A New Look at Real and Arfificial Memory: A New Look at Real and Artificial MEM

Tell Me a Story: A New Look at Real and Arfificial Memory: A New Look at Real and Artificial MEM
Articulation, the letter, and the spirit in the aesthetics of narrative

Proceedings of the 1st ACM workshop on Story representation, mechanism and context
Communicating everyday experiences

Proceedings of the 1st ACM workshop on Story representation, mechanism and context
Minimal structures for stories

Proceedings of the 1st ACM workshop on Story representation, mechanism and context

Quantified Score

Hi-index	0.00

Visualization

Abstract

Leaders make decisions in different and sometimes difficult situations. These decisions are often converted into valuable knowledge needed by other people in decision positions. For example, students becoming leaders need knowledge about leadership to make good judgments. When the situation is sensitive, perhaps concerning personal changes or an unfamiliar business strategy, leaders need opinions and not just those from people involved in the company. An artificial system allows us to replicate a system of opinions and observations from outside advisors, which is why we base our research on this kind of system. In this paper we present a knowledge representation for a knowledge-based leadership system used in the experimental system we are developing.