Formal AI systems traditionally represent knowledge using logical formulas. We will show, however, that for certain kinds of information, a modelbased representation is more compa...
Reasoning about capabilities in multi-agent systems is crucial for many applications. There are two aspects of reasoning about the capabilities of an agent to achieve its goals. O...
There are numerous cases where a reasoning agent needs to reason about the behavior of an opponent agent. In this paper, we propose a hybrid probabilistic logic language within wh...
Gerardo I. Simari, Amy Sliva, Dana S. Nau, V. S. S...
Answer sharing is a key element in multi-agent systems as it allows agents to collaborate towards achieving a global goal. However exogenous knowledge of the world can influence e...
Jiefei Ma, Krysia Broda, Randy Goebel, Hiroshi Hos...
We sketch how to express typical features of agent communication protocols in a simple temporal logic and show that conformance verification at runtime reduces to a generalised f...