Anytime algorithms give intelligent systems the capability to trade deliberation time for
quality of results. This capability is essential for successful operation in domains such as …

Various disciplines have examined the many phenomena of metacognition and have
produced numerous results, both positive and negative. I discuss some of these aspects of …

Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

The emerging technology of multisensor data fusion has a wide range of applications, both
in Department of Defense (DoD) areas and in the civilian arena. The techniques of …

Since its inception, artificial intelligence has relied upon a theoretical foundation centered
around perfect rationality as the desired property of intelligent systems. We argue, as others …

In this paper we discuss a number of previously unaddressed issues that arise in automated
negot/ation among self-interested agents whose rationality is bounded by computational …

This book presents a research project aimed at the building of a “thinking machine,” that is, a
general-purpose artificial intelligence. Artificial intelligence has a scientific and an …

As Bayesian networks are applied to more complex and realistic real-world applications, the
development of more efficient inference algorithms working under real-time constraints is …

Many artificial intelligence (AI) tasks, such as product configuration, decision support, and
the construction of autonomous agents, involve a process of constrained optimization, that …

Characters in real-time computer games need to move smoothly and thus need to search in
real time. In this paper, we describe a simple but powerful way of speeding up repeated A …