Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Bulletin
None
Urban Transport XXV
Containing research from the 25th edition of the Urban Transport conference, the papers included in this book address the need to solve important pollution problems associated with urban transport. There is also a growing need for integration with telecommunications systems and IT applications in order to improve safety, security and efficiency.
From Reaction to Cognition
This volume contains thoroughly refereed full versions of the best papers presented at the 5th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '93, held in Neuchâtel, Switzerland in August 1993. The volume opens with a detailed introduction by the volume editors bringing the papers in line and offering a readers' guide. The 15 full research papers reflect the state-of-the-art in this dynamic field of research; they are organized in sections on emergence of global properties, emergence of sociality, multi-agent planning, multi-agent communication, and multi-agent architectures.
Monthly Labor Review
Publishes in-depth articles on labor subjects, current labor statistics, information about current labor contracts, and book reviews.
Plan-Based Control of Robotic Agents
Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities. This book makes three major contributions to improving the capabilities of robotic agents: - first, a plan representation method is introduced which allows for specifying flexible and reliable behavior - second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans - third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.
Shared Agency
Human beings act together in characteristic ways that matter to us a great deal. This book explores the conceptual, metaphysical and normative foundations of such sociality. It argues that appeal to the planning structures involved in our individual, temporally extended agency provides substantial resources for understanding these foundations of our sociality.
Intelligent Planning
"The central fact is that we are planning agents." (M. Bratman, Intentions, Plans, and Practical Reasoning, 1987, p. 2) Recent arguments to the contrary notwithstanding, it seems to be the case that people-the best exemplars of general intelligence that we have to date do a lot of planning. It is therefore not surprising that modeling the planning process has always been a central part of the Artificial Intelligence enterprise. Reasonable behavior in complex environments requires the ability to consider what actions one should take, in order to achieve (some of) what one wants and that, in a nutshell, is what AI planning systems attempt to do. Indeed, the basic description of a plan generation algorithm has remained constant for nearly three decades: given a desciption of an initial state I, a goal state G, and a set of action types, find a sequence S of instantiated actions such that when S is executed instate I, G is guaranteed as a result. Working out the details of this class of algorithms, and making the elabora tions necessary for them to be effective in real environments, have proven to be bigger tasks than one might have imagined.
