We propose a dynamic testimonial logic (DTL) to model communication and belief change among agents with different dispositions to trust each other as information sources. DTL is ...
In multi-agent communities, trust is required when agents hold different beliefs or conflicting goals. We present a framework for decomposing agent reputation into competence—...
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Abstract. Software agent technology has attracted much attention for developing various distributed systems, composed of autonomous agents interacting with one another using partic...
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...