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Elicitability and knowledge-free elicitation with peer prediction
International Joint Conference on Autonomous Agents and Multiagent Systems, 2014The elicitation of private information from individuals is crucially important to many real-world tasks. But elicitation is most challenging when it is most useful: when objective (verifiable) truth is inaccessible or unavailable, and there is no ``answer key" available to verify reports.
Zhang, Peter, Chen, Yiling
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On Elicitation Complexity and Conditional Elicitation. [PDF]
CoRR, 2015 Elicitation is the study of statistics or properties which are computable via empirical risk minimization. While several recent papers have approached the general question of which properties are elicitable, we suggest that this is the wrong question---all properties are elicitable by first eliciting the entire distribution or data set, and thus the ...
Rafael Frongillo, Ian A. Kash
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Elicit: a method for eliciting process models
Proceedings of the Third International Conference on the Software Process. Applying the Software Process, 2002Eliciting process models from software projects is a first significant step towards process improvement. In this paper, we present a method, called Elicit, for eliciting software process models from industrial software environments. What is significant about this method is that it has evolved from an intuitive state-the state that defines the ...
N.H. Madhavji +3 more
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, 2005 Since the last edition of this book there have been rapid developments in the use and exploitation of formally elicited knowledge. Previously, (Shadbolt and Burton, 1995) the emphasis was on eliciting knowledge for the purpose of building expert or knowledge-based systems.
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Computation and Elicitation of Valleyness
Spatial Cognition & Computation, 2011Existing methods for land surface form characterisation often focus on relatively simple landform element classifications and do not evaluate results with large scale participant experiments. This piece of research takes a semantics-grounded approach to characterising the landform valley. Based on definitions three algorithms to characterise valleys in
Straumann, Ralph K, Purves, Ross S
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Causal knowledge elicitation based on elicitation failures
IEEE Transactions on Knowledge and Data Engineering, 1995The paper presents an approach to causal knowledge elicitation supported by a tool directly used by the domain expert. This knowledge elicitation approach is characterized by trying to guess an interpretation of the knowledge entered by the expert. The tool (initially general), as it is used, self customizes its guessing capability, remembers failures ...
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Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2015
ELICIT is a generic tool that enables the visual exploration of evolutionary computation algorithms. It is characterized by the use of simple visual elements to represent information and by the adoption of interactive techniques which allow the navigation between different granularity levels, i.e., it allows the visualization of data from single runs ...
António Cruz +3 more
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ELICIT is a generic tool that enables the visual exploration of evolutionary computation algorithms. It is characterized by the use of simple visual elements to represent information and by the adoption of interactive techniques which allow the navigation between different granularity levels, i.e., it allows the visualization of data from single runs ...
António Cruz +3 more
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Utility Elicitation During Negotiation with Practical Elicitation Strategies
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018Automatic negotiation is gaining more interest recently thanks to the wider deployment of intelligent systems and the need for them to cooperate/compete on behalf of their users. A central assumption of most autonomous negotiation agents is that the utility function of the user is perfectly known to the agent.
Yasser F. O. Mohammad, Shinji Nakadai
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Structured Parameter Elicitation
Proceedings of the AAAI Conference on Artificial Intelligence, 2010The behavior of a complex system often depends on parameters whose values are unknown in advance. To operate effectively, an autonomous agent must actively gather information on the parameter values while progressing towards its goal. We call this problem parameter elicitation.
Li Ling Ko +3 more
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