There is a need for agent systems that can scale to realworld applications, yet retain the clean semantic underpinning of more formal agent frameworks. We describe the SRI Procedu...
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to supp...
Peter Weinstein, H. Van Dyke Parunak, Paul Chiusan...
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
In this paper, we propose using the network-attached disk (NAD) architecture to design highly scalable and cost-effective multimedia-on-demand (MOD) servers. In order to ensure en...
In this paper, we focus on addressing the tradeoffs between timeliness, accuracy and cost for applications requiring real-time information collection in distributed real-time envi...