Metacognitive and computational aspects of chance discovery

Authors:
Ruediger Oehlmann
Affiliations:
School of Computing and Information Systems, Kingston University, Kingston upon Thames, KT1 2EE, UK
Venue:
New Generation Computing - Special issue on chance discovery
Year:
2003

Citing 3
Cited 3

Chance discoveries for making decisions in complex real world

New Generation Computing
The Role of Counterexamples in Discovery Learning Environment: Awareness of the Chance for Learning

Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
A Computational Model of Reasoning as Socially-Constructed Process

PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence

Metacognition in computation: a selected research review

Artificial Intelligence
Field review: Metacognition in computation: A selected research review

Artificial Intelligence
Harmony Strategies for Human-Centered Chance Discovery

International Journal of Organizational and Collective Intelligence

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Abstract

Chance discovery is concerned with events or situations that affect human decision making; such events or situations are viewed as opportunities or risks. Perspectives are mental representations that describe partial knowledge of a task domain (cognitive perspective) as well as knowledge about other participants (social perspectives). Based on verbal protocols and a computational model of these protocols, it is argued that perspective taking is a suitable strategy to achieve chance discovery. Therefore the cognitive mechanisms underlying this strategy have been investigated and the results implicate metacognition as necessary requirement to achieve chance discovery.