This paper describes how agent and knowledge technology can be used to build advanced software systems that support operational decisionn complex domains. In particular, we present...
The ability for humans to understand and process the emotional content of speech is unsurpassed by simulated intelligent agents. Beyond the linguistic content of speech are the un...
Corey M. Thibeault, Oscar Sessions, Philip H. Good...
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Autonomic systems are typically distributed, complex and concurrent systems, comprised of multiple interacting autonomic elements that often exhibit emergent behavior. Design and ...
Radovan Cervenka, Dominic A. P. Greenwood, Ivan Tr...