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» Artificial agents learning human fairness
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ATAL
2007
Springer
15 years 1 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
ICALT
2006
IEEE
15 years 3 months ago
Instruction Through The Ages: Building Pervasive Virtual Instructors for Life Long Learning
A pervasive virtual instructor is an artificially intelligent instructor that may appear transparent to the learner or appear in the form of a threedimensional graphical character...
Jayfus T. Doswell
ATAL
2009
Springer
15 years 4 months ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
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ATAL
2010
Springer
14 years 10 months ago
Bootstrapping trust evaluations through stereotypes
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
Chris Burnett, Timothy J. Norman, Katia P. Sycara
EPIA
2007
Springer
15 years 3 months ago
Intelligent Farmer Agent for Multi-agent Ecological Simulations Optimization
Abstract. This paper presents the development of a bivalve farmer agent interacting with a realistic ecological simulation system. The purpose of the farmer agent is to determine t...
Filipe Cruz, António Pereira, Pedro Valente...