Expertise transfer for expert system design
Expertise transfer for expert system design
International Journal of Man-Machine Studies - Knowledge acquisition for knowledge-based systems, part 1. Based on an AAAI work
Decision analysis techniques for knowledge acquisition: combining information and preferences using
International Journal of Man-Machine Studies
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Knowledge Acquisition
Design knowledge capture and alternatives generation using possibility tables in Canard
Knowledge Acquisition
Knowledge acquisition as modeling
Beyond the repertory grid: new approaches to constructivist knowledge acquisition tool development
Knowledge acquisition as modeling
Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
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A Rose by Any Other Name...Would Probably Be Given an Acronym
IEEE Intelligent Systems
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ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Ten Challenges for Making Automation a "Team Player" in Joint Human-Agent Activity
IEEE Intelligent Systems
POLICY '08 Proceedings of the 2008 IEEE Workshop on Policies for Distributed Systems and Networks
On the synthesis of useful social laws for artificial agent societies
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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IEEE Intelligent Systems
The fundamental principle of coactive design: interdependence must shape autonomy
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Human-agent teamwork in cyber operations: supporting co-evolution of tasks and artifacts with luna
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Knowledge acquisition: Past, present and future
International Journal of Human-Computer Studies
Nature, nurture, and knowledge acquisition
International Journal of Human-Computer Studies
The knowledge acquisition workshops: A remarkable convergence of ideas
International Journal of Human-Computer Studies
Knowledge acquisition and the rise of social machines
International Journal of Human-Computer Studies
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In the mid-1980s, Brian Gaines first developed a model to predict the trajectory of progress in human-computer relationships, including how the knowledge science research programme would naturally transform itself over time into something he called ''symbiosis science.'' In this article, we reflect both on the extraordinary prescience of this model, and the contributions and challenges faced by researchers intent on progressive achievement toward the aspirations it inspires.