ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
AI for Game Developers
A normative framework for agent-based systems
Computational & Mathematical Organization Theory
A distributed normative infrastructure for situated multi-agent organisations
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
OMNI: introducing social structure, norms and ontologies into agent organizations
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
Fast learning for sentiment analysis on bullying
Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining
Learning from bullying traces in social media
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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Automated approaches to prevent the negative effects of cyber bullying mainly focus on affective agents that provide support for victims. The current paper takes a complementary approach, which attempts to minimise the amount of occurrences of cyber bullying in the first place. The approach consists of a system of normative agents, which are physically present in a virtual society. The agents, which reason based on a BDI-model, use a number of techniques to detect various norm violations, including insulting and following. By using rewards and punishments, they try to reinforce the desired behaviour of the users. The system has been implemented and tested within a virtual environment for children between 6 and 12 years old, called Club Time Machine. In a real world experiment, the behaviour of the users of the virtual environment has been logged and analysed by means of a logic-based checking tool. The results show that the normative agents have the potential to reduce the amount of norm violations on the long term.