Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Learning to Share Meaning in a Multi-Agent System
Autonomous Agents and Multi-Agent Systems
ANEMONE: an effective minimal ontology negotiation environment
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Ontology-guided learning to improve communication between groups of agents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Enhancing communication with groups of agents using learned non-unanimous ontology concepts
Web Intelligence and Agent Systems
Incremental Non-unanimous Concept Reformation through Queried Object Classification
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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We present an extension to the definition of a concept in an ontology that allows an agent to simultaneously communicate with a group of agents that might have different understandings of some concepts. We also provide a way to learn such non-unanimous concepts by using a method for learning concepts from a group of teachers. The general idea of non-unanimous concepts is to use the teachers to identify the core of a concept everyone agrees on and what else at least some of the teachers think belongs into the concept. The learning agent also decides what belongs to the concept for itself and whenever it needs to communicate with a group of other agents and needs to be precise it makes use of these three concept aspects by providing additional example objects for what might be misunderstood.