—When information or control in a multiagent system is private to the agents, they may misreport this information or refuse to execute an agreed outcome, in order to change the r...
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
A Normative Multi-Agent System consists of autonomous agents who must comply with social norms. Different kinds of norms make different assumptions about the cognitive architecture...
Brigitte Burgemeestre, Joris Hulstijn, Yao-Hua Tan
Classical planning deals with finding a (shortest) sequence of actions transferring the world from its initial state to a state satisfying the goal condition. Traditional planning...
High-interaction honeypots are relevant to provide rich and useful information obtained from attackers. Honeypots come in different flavors with respect to their interaction pote...