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Agent And Environment


Agent And Environment
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Environments For Multi Agent Systems


Environments For Multi Agent Systems
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Author : Danny Weyns
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-02-10

Environments For Multi Agent Systems written by Danny Weyns and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-10 with Computers categories.


This modern field of multi-agent systems has developed from two main lines of earlier research: its practitioners generally regard it as a form of distributed artificial intelligence, whereas some researchers have persistently advocated ideas from the field of artificial life. AI agents (and their designers) usually take the environment for agent interaction as granted. From the ALife perspective and for ALife agents, the environment for interaction is an active participant in agent dynamics, a first class member of the overall systems. This book originates from the First International Workshop on Environments for Multi-Agent Systems, E4MAS 2004, held in New York, NY, USA in July 2004 as a satellite workshop of AAMAS 2004. The 13 carefully selected reviewed and revised papers presented together with an introductory survey article of close to 50 pages are organized in topical sections on conceptual models, language for design and specification, simulation and environments, mediated coordination, and applications.



Advanced Agent Based Environmental Management Systems


Advanced Agent Based Environmental Management Systems
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Author : Ulises Cortes Garcia
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-08

Advanced Agent Based Environmental Management Systems written by Ulises Cortes Garcia and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-08 with Science categories.


Multi-agent Systems (MAS) are one of the most exciting research areas in Artificial Intelligence meanwhile Environmental Studies is a research area of strategic interest. Both areas can provide society with solutions for many real applications, in order to use and protect the environment. Human activities imply intervention into nature, but properly managed, these interventions can not be only ecologically sound but also favourable to the sustainable development of civilisation. The encounter between these fields is a new challenge for many researchers of both communities. This book presents a comprehensive reference of state-of-the-art efforts. Specifically, it presents current and future ways in which adaptive information technologies, techniques, protocols and architectures, such as software agent technologies and multi-agent systems, can be used to support the development of real-world agent-based systems in the area of e-Environment.



Agent Based Modeling Of Sustainable Behaviors


Agent Based Modeling Of Sustainable Behaviors
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Author : Amparo Alonso-Betanzos
language : en
Publisher: Springer
Release Date : 2017-01-06

Agent Based Modeling Of Sustainable Behaviors written by Amparo Alonso-Betanzos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-06 with Social Science categories.


Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.



Developing Intelligent Agent Systems


Developing Intelligent Agent Systems
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Author : Lin Padgham
language : en
Publisher: John Wiley & Sons
Release Date : 2005-06-24

Developing Intelligent Agent Systems written by Lin Padgham and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-24 with Technology & Engineering categories.


Build your own intelligent agent system... Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling goods via electronic commerce, to autonomous space probes. This powerful technology is not widely used, however, as developing intelligent agent software requires high levels of training and skill. 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. 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 notion of agents, a description of the concepts involved, and a software engineering methodology. Read on for: a practical step-by-step introduction to designing and building intelligent agent systems. a full life-cycle methodology for developing intelligent agent systems covering specification, analysis, design and implementation of agents. PDT: Prometheus Design Tool – software support for the Prometheus design process. the example of an electronic bookstore to illustrate the design process throughout the book. Electronic resources including the Prometheus Design Tool (PDT), can be found at: http://www.cs.rmit.edu.au/agents/prometheus This book is aimed at industrial software developers, software engineers and at advanced undergraduate students. It assumes knowledge of basic software engineering but does not require knowledge of Artificial Intelligence or of mathematics. Familiarity with Java will help in reading the examples in chapter 10.



Environments For Multi Agent Systems Ii


Environments For Multi Agent Systems Ii
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Author : Danny Weyns
language : en
Publisher: Springer
Release Date : 2006-02-26

Environments For Multi Agent Systems Ii written by Danny Weyns and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-26 with Computers categories.


This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Environments for Multiagent Systems, E4MAS 2005, held in July 2005. The 16 revised papers presented were carefully reviewed and selected from the lectures given at the workshop. The papers are organized in topical sections on models, architecture, and design, mediated coordination, as well as applications.



Hands On Reinforcement Learning With Python


Hands On Reinforcement Learning With Python
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Author : Sudharsan Ravichandiran
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-28

Hands On Reinforcement Learning With Python written by Sudharsan Ravichandiran and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-28 with Computers categories.


A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and DRL algorithms Explore various state-of-the-art architectures along with math Book Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence. What you will learn Understand the basics of reinforcement learning methods, algorithms, and elements Train an agent to walk using OpenAI Gym and Tensorflow Understand the Markov Decision Process, Bellman’s optimality, and TD learning Solve multi-armed-bandit problems using various algorithms Master deep learning algorithms, such as RNN, LSTM, and CNN with applications Build intelligent agents using the DRQN algorithm to play the Doom game Teach agents to play the Lunar Lander game using DDPG Train an agent to win a car racing game using dueling DQN Who this book is for If you’re a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book.



Agent Environments For Multi Agent Systems Iv


Agent Environments For Multi Agent Systems Iv
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Author : Danny Weyns
language : en
Publisher: Springer
Release Date : 2015-11-26

Agent Environments For Multi Agent Systems Iv written by Danny Weyns and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-26 with Computers categories.


This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Environments for Multiagent Systems, E4MAS 2014 - 10 years later, held in Paris, France, in May 2014 as an associated event of AAMAS 2014, the 13th International Conference on Autonomous Agents and Multiagent Systems. The 6 revised full papers presented together with 1 roadmap paper and 7 invited papers were carefully reviewed and selected from 14 initial submissions. The papers are organized in topical sections on connecting agents, environments, and humans; environments for complex and stigmergic systems; virtual and simulated environments; and open agent environments and interoperability.



Conceptual Modelling Of Multi Agent Systems


Conceptual Modelling Of Multi Agent Systems
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Author : Norbert Glaser
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Conceptual Modelling Of Multi Agent Systems written by Norbert Glaser and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Conceptual Modelling of Multi-Agent Systems proposes the methodology and engineering environment CoMoMAS for the development of multi-agent systems. CoMoMAS is among the most elaborated and most often cited multi-agent development approaches available in the field. Its originality is to address the issue of the development of multi-agent systems (MAS) from a knowledge engineering perspective, which means that agents are seen as interacting entities having different kinds of knowledge, which is to be identified during development. Knowledge has played an important role for MAS development in the past, but CoMoMAS makes a step further in proposing a complete set of conceptual models and a solid methodology to guide the overall development process of a MAS-from design to validation. Conceptual Modelling of Multi-Agent Systems is an excellent reference for both researchers and practitioners in the broad area of distributed systems development. This book is of particular value from the point of view of computer science, including knowledge engineering, artificial intelligence, agent and multi-agent technology, and software engineering.



Evaluating The Dynamics Of Agent Environment Interaction


Evaluating The Dynamics Of Agent Environment Interaction
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Author : Dani Goldberg
language : en
Publisher:
Release Date : 2001

Evaluating The Dynamics Of Agent Environment Interaction written by Dani Goldberg and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.




Agent Environment Interaction In Mas Introduction And Survey


Agent Environment Interaction In Mas Introduction And Survey
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Author : Joonas Kesäniemi
language : en
Publisher:
Release Date : 2011

Agent Environment Interaction In Mas Introduction And Survey written by Joonas Kesäniemi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.