2 edition of Intelligent Agents found in the catalog.
by K G Saur Verlag Gmbh & Co
|The Physical Object|
This book explores a central issue in artificial intelligence, cognitive science, and artificial life: how to design information structures and processes that create and adapt intelligent agents through evolution and learning. Among the first uses of the computer was the development of programs to model perception, reasoning, learning, and evolution. There is currently considerable interest, from both the AI and the mainstream CS communities, in conceptualizing and building complex computer systems as collections of intelligent agents. This book is devoted to theoretical and practical aspects of architectural and language-related design and implementation issues of software agents.
The second part contains a number of articles on the theory of intelligent agents; the third part contains articles on agent architectures (software engineering models of agents), and the final part contains articles on agent programming languages - the book is the first to deal specifically with this novel area. Part of book: Multi-agent Systems. 5. Time Critical Mass Evacuation Simulation Combining A Multi- Agent System and High-Performance Computing. By Leonel Aguilar, Maddegedara Lalith and Muneo Hori. Part of book: Multi-agent Systems. 6. Robust Adaptive Cooperative Control for Formation-Tracking Problem in a Network of Non-Affine Nonlinear Agents.
This book constitutes the proceedings of the 14th International Conference on Intelligent Virtual Agents, IVA , held in Boston, MA, USA, in August The 14 full and 24 short papers presented were carefully reviewed and selected from 78 submissions. An autonomous intelligent agent is an intelligent agent that is free to choose between different actions. As the term 'artificial' suggests, the sort of autonomous intelligent agents of interest to us here are not the sorts of things we find in the wild. Rather, they are created.
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This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Agents and Artificial Intelligence, ICAARTheld in Vilamoura, Portugal, in February The 28 revised full papers presented together with one invited paper were carefully.
This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADMheld in St. Petersburg, Russia in June The 17 revised full papers and six revised short papers presented together.
Developing Intelligent Agent Systems not only answers the questions “what are agents?” and “why are they useful?” but also the crucial question: “how do I design and build intelligent agent systems?” The book covers everything a practitioner needs to know to begin to effectively use this technology - including an introduction to the Cited by: The objective of our book is to create a general formal tool to describe agents that monitor distributed systems, as well as to develop two such systems.
A first system (MAgeLan) will be designed and developed for: monitoring and improving the effort of the researcher in his web documentation; monitoring and improving the effort of the researcher in drafting a paper;Author: Bogdan Patrut.
Intelligent agents are often described schematically as an abstract functional system similar to a computer program. For this reason, intelligent agents are sometimes called abstract intelligent agents (AIA) to distinguish them from their real world implementations as computer systems, biological systems, or definitions of intelligent agents emphasize their autonomy, and so.
intelligent agent: On the Internet, an intelligent agent (or simply an agent) is a program that gathers information or performs some other service without your immediate presence and on some regular schedule. Typically, an agent program, using parameters you have provided, searches all or some part of the Internet, gathers information you're.
This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks.
Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting. An intelligent agent is a type of software application that searches, retrieves and presents information from the Internet.
This application automates the process of extracting data from the Internet, such as information selected based on a predefined criterion, keywords or. When intelligent agents are immersed into highly structured environments, one soon realizes that there is still a long way to gain many elusive cognitive skills.
A sound theory on the emergence of intelligence should hopefully explain how an agent, which lives in an environment characterized by continuous-based perceptual information, can develop an internal symbolic representations of the. This book constitutes the refereed proceedings of the 8th International Workshop on Intelligent Virtual Agents, IVAheld in Tokyo, Japan, in September The 18 revised full papers and 28 revised short papers presented together 42 poster papers were carefully reviewed and selected from Building Intelligent Agents is unique in its comprehensive coverage of the subject.
The first part of the book presents an original theory for building intelligent agents and a methodology and tool that implement the Edition: 1. The authors of this book have developed and tested a methodology and tools for developing intelligent agent systems.
With this methodology (Prometheus) developers can start agent-oriented designs and implementations easily from scratch saving valuable time and resources.
The leading textbook in Artificial Intelligence. Used in over universities in over countries. The 22nd most cited computer science publication on Citeseer (and 4th most cited publication of this century).
Free Online AI course, Berkeley's CSoffered through edX. Pseudo-code algorithms from the book. HOIAWOG!: Your guide to developing AI agents using deep reinforcement ent intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator.
different designs for successful agents—ﬁlling in the question mark in Figure We discuss some of the general principles used in the design of agents throughout the book, chief among which is the principle that agents should know things. Finally, we show how to couple an agent to an environment and describe several kinds of Size: KB.
In numerous examples the reader will find extensive descriptions of individual software agents, among others the agents Firefly and Kasbah. Equal importance is attached to both the basic building blocks and the practical implementation of intelligent software agents. The book. Intelligent agents are one of the most promising business tools in our information rich world.
An intelligent agent consists of a software system capable of performing intelligent tasks within a dynamic and unpredictable environment. They can be characterised by various attributes including: autonomous, adaptive, collaborative, communicative, mobile, and reactive.
‘Intelligent Agents’ are likely to play a significant role in the design of these interfaces, and this book explores how they are starting to influence media-based systems. As you read Intelligent Agents for Mobile and Virtual Media, you will discover the considerable advances that have already been made on the long journey towards a day.
Building Intelligent Agents An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies. Preface. General Description. This book presents a theory, methodology and tool for building intelligent agents, along with detailed case studies. Intelligent Robotics and Autonomous Agents series Over the past decade new approaches have emerged that have revolutionized the design of intelligent robotic systems.
Even more recently, research on autonomous agents has undergone a renaissance as it has progressed from its roots in distributed AI. An intelligent agent represents a distinct category of software that incorporates local knowledge about its own and other agents’ tasks and resources, allowing it Author: Peter Fingar.Intelligent Agents in Education: /ch Distance learning through information and communication technologies has consistently had Author: Mikail Feituri, Federica Funghi.* The delivery date is not guaranteed until you have checked out using an instant payment method.
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