Prima 2024 Principles And Practice Of Multi Agent Systems
DOWNLOAD
Download Prima 2024 Principles And Practice Of Multi Agent Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Prima 2024 Principles And Practice Of Multi Agent Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Prima 2024 Principles And Practice Of Multi Agent Systems
DOWNLOAD
Author : Ryuta Arisaka
language : en
Publisher: Springer Nature
Release Date : 2024-11-16
Prima 2024 Principles And Practice Of Multi Agent Systems written by Ryuta Arisaka and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.
This book constitutes the refereed proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024, held in Kyoto, Japan, during November 18–24, 2024. The 23 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 76 submissions. They are organized in the following topical sections: coordination and cooperation; market approaches; logics; learning; agent-based modelling and simulation; computational social choice.
Prima 2020 Principles And Practice Of Multi Agent Systems
DOWNLOAD
Author : Takahiro Uchiya
language : en
Publisher: Springer Nature
Release Date : 2021-02-13
Prima 2020 Principles And Practice Of Multi Agent Systems written by Takahiro Uchiya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-13 with Computers categories.
This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in Nagoya, Japan, in November 2020. The 19 full papers presented and 13 short papers were carefully reviewed and selected from 50 submissions. Due to COVID-19, the conference was held online. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
Multi Agent Systems
DOWNLOAD
Author : Rem Collier
language : en
Publisher: Springer Nature
Release Date : 2025-07-21
Multi Agent Systems written by Rem Collier and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-21 with Computers categories.
This book constitutes the refereed proceedings of the 21st European Conference on Multi-Agent Systems, EUMAS 2024, which took place in Dublin, Ireland, on August 26, 2024. The 24 full papers and 1 short paper included in this book were carefully reviewed and selected from 36 submissions. They were organized in topical sections as follows: Multi-Agent Based Simulation; Multi-Agent Learning; Knowledge Representation, Reasoning and Planning; Human-Agent Interaction; Coordination, Organisations, Institutions, Norms and Ethics; and Engineering Multi-Agent Systems.
Cross Cultural Design
DOWNLOAD
Author : Pei-Luen Patrick Rau
language : en
Publisher: Springer Nature
Release Date : 2025-06-01
Cross Cultural Design written by Pei-Luen Patrick Rau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-01 with Computers categories.
This four-volume set LNCS 15782-15785 constitutes the refereed proceedings of the 17th International Conference on Cross-Cultural Design, CCD 2025, held as part of the 27th International Conference on Human-Computer Interaction, HCII 2025, in Gothenburg, Sweden, during June 22-27, 2025. The total of 1430 papers and 355 posters included in the HCII 2025 proceedings was carefully reviewed and selected from 7972 submissions. The four volumes cover the following topics: Part I: Cross-cultural user experience and design; cross-cultural emotional and psychological factors in interaction; and cross-cultural usability and interaction design. Part II: Artificial intelligence in cultural heritage and creativity; cross-cultural generative AI; and AI applications and sustainable innovation. Part III: Cross-cultural arts and aesthetics; cross-cultural social innovation; automotive and transportation user experience; and cross-cultural design and cultural heritage. Part IV: Digital learning, STEM education and AI-driven pedagogy; smart systems, intelligent interaction and user perception; and cross-cultural health and wellbeing.
Ai 2024 Advances In Artificial Intelligence
DOWNLOAD
Author : Mingming Gong
language : en
Publisher: Springer Nature
Release Date : 2024-11-23
Ai 2024 Advances In Artificial Intelligence written by Mingming Gong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-23 with Computers categories.
This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024. The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining. Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.
Dividing The Indivisible
DOWNLOAD
Author : Fredrik Präntare
language : en
Publisher: Linköping University Electronic Press
Release Date : 2024-04-18
Dividing The Indivisible written by Fredrik Präntare and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-18 with categories.
Allocating resources, goods, agents (e.g., humans), expertise, production, and assets is one of the most influential and enduring cornerstone challenges at the intersection of artificial intelligence, operations research, politics, and economics. At its core—as highlighted by a number of seminal works [181, 164, 125, 32, 128, 159, 109, 209, 129, 131]—is a timeless question: How can we best allocate indivisible entities—such as objects, items, commodities, jobs, or personnel—so that the outcome is as valuable as possible, be it in terms of expected utility, fairness, or overall societal welfare? This thesis confronts this inquiry from multiple algorithmic viewpoints, focusing on the value-maximizing combinatorial assignment problem: the optimization challenge of partitioning a set of indivisibles among alternatives to maximize a given notion of value. To exemplify, consider a scenario where an international aid organization is responsible for distributing medical resources, such as ventilators and vaccines, and allocating medical personnel, including doctors and nurses, to hospitals during a global health crisis. These resources and personnel—inherently indivisible and non-fragmentable—necessitate an allocation process designed to optimize utility and fairness. Rather than using manual interventions and ad-hoc methods, which often lack precision and scalability, a rigorously developed and demonstrably performant approach can often be more desirable. With this type of challenge in mind, our thesis begins through the lens of computational complexity theory, commencing with an initial insight: In general, under prevailing complexity-theoretic assumptions (P ≠ NP), it is impossible to develop an efficient method guaranteeing a value-maximizing allocation that is better than “arbitrarily bad”, even under severely constraining limitations and simplifications. This inapproximability result not only underscores the problem’s complexity but also sets the stage for our ensuing work, wherein we develop novel algorithms and concise representations for utilitarian, egalitarian, and Nash welfare maximization problems, aimed at maximizing average, equitable, and balanced utility, respectively. For example, we introduce the synergy hypergraph—a hypergraph-based characterization of utilitarian combinatorial assignment—which allows us to prove several new state-of-the-art complexity results to help us better understand how hard the problem is. We then provide efficient approximation algorithms and (non-trivial) exponential-time algorithms for many hard cases. In addition, we explore complexity bounds for generalizations with interdependent effects between allocations, known as externalities in economics. Natural applications in team formation, resource allocation, and combinatorial auctions are also discussed; and a novel “bootstrapped” dynamic-programming method is introduced. We then transition from theory to practice as we shift our focus to the utilitarian variant of the problem—an incarnation of the problem particularly applicable to many real-world scenarios. For this variation, we achieve substantial empirical algorithmic improvements over existing methods, including industry-grade solvers. This work culminates in the development of a new hybrid algorithm that combines dynamic programming with branch-and-bound techniques that is demonstrably faster than all competing methods in finding both optimal and near-optimal allocations across a wide range of experiments. For example, it solves one of our most challenging problem sets in just 0.25% of the time required by the previous best methods, representing an improvement of approximately 2.6 orders of magnitude in processing speed. Additionally, we successfully integrate and commercialize our algorithm into Europa Universalis IV—one of the world’s most popular strategy games, with a player base exceeding millions. In this dynamic and challenging setting, our algorithm efficiently manages complex strategic agent interactions, highlighting its potential to improve computational efficiency and decision-making in real-time, multi-agent scenarios. This also represents one of the first instances where a combinatorial assignment algorithm has been applied in a commercial context. We then introduce and evaluate several highly efficient heuristic algorithms. These algorithms—while lacking provable quality guarantees—employ general-purpose heuristic and random-sampling techniques to significantly outperform existing methods in both speed and quality in large-input scenarios. For instance, in one of our most challenging problem sets, involving a thousand indivisibles, our best algorithm generates outcomes that are 99.5% of the expected optimal in just seconds. This performance is particularly noteworthy when compared to state-of-the-art industry-grade solvers, which struggle to produce any outcomes under similar conditions. Further advancing our work, we employ novel machine learning techniques to generate new heuristics that outperform the best hand-crafted ones. This approach not only showcases the potential of machine learning in combinatorial optimization but also sets a new standard for combinatorial assignment heuristics to be used in real-world scenarios demanding rapid, high-quality decisions, such as in logistics, real-time tactics, and finance. In summary, this thesis bridges many gaps between the theoretical and practical aspects of combinatorial assignment problems such as those found in coalition formation, combinatorial auctions, welfare-maximizing resource allocation, and assignment problems. It deepens the understanding of the computational complexities involved and provides effective and improved solutions for longstanding real-world challenges across various sectors—providing new algorithms applicable in fields ranging from artificial intelligence to logistics, finance, and digital entertainment, while simultaneously paving the way for future work in computational problem-solving and optimization.
Web Information Systems Engineering Wise 2024
DOWNLOAD
Author : Mahmoud Barhamgi
language : en
Publisher: Springer Nature
Release Date : 2024-11-26
Web Information Systems Engineering Wise 2024 written by Mahmoud Barhamgi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
This five-volume set LNCS 15436 -15440 constitutes the proceedings of the 25th International Conference on Web Information Systems Engineering, WISE 2024, held in Doha, Qatar, in December 2024. The 110 full papers and 55 short papers were presented in these proceedings were carefully reviewed and selected from 368 submissions. The papers have been organized in the following topical sections as follows: Part I : Information Retrieval and Text Processing; Text and Sentiment Analysis; Data Analysis and Optimisation; Query Processing and Information Extraction; Knowledge and Data Management. Part II: Social Media and News Analysis; Graph Machine Learning on Web and Social; Trustworthy Machine Learning; and Graph Data Management. Part III: Recommendation Systems; Web Systems and Architectures; and Humans and Web Security. Part IV: Learning and Optimization; Large Language Models and their Applications; and AI Applications. Part V: Security, Privacy and Trust; Online Safety and Wellbeing through AI; and Web Technologies.
Engineering Multi Agent Systems
DOWNLOAD
Author : Daniela Briola
language : en
Publisher: Springer Nature
Release Date : 2024-10-24
Engineering Multi Agent Systems written by Daniela Briola and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-24 with Computers categories.
This book constitutes the revised selected papers from the 12th International Workshop on Engineering Multi-Agent Systems, EMAS 2024, held in Auckland, New Zealand, during May 6–7, 2024. The 7 full papers and 4 short papers included in this book were carefully reviewed and selected from a total of 18 submissions. These papers focus on topics such as agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning.
Computer Human Interaction Research And Applications
DOWNLOAD
Author : Hugo Plácido da Silva
language : en
Publisher: Springer Nature
Release Date : 2025-03-06
Computer Human Interaction Research And Applications written by Hugo Plácido da Silva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
This two-volume set, CCIS 2370 and CCIS 2371, constitutes the proceedings of the 8th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2024, held Porto, Portugal, during November 21–22, 2024. The 16 full papers and 45 short papers presented in these volumes were carefully reviewed and selected from 76 submissions. These papers focus on the research advancements and practical applications within various areas in the field of Computer-Human Interaction, including Human Factors and Information Systems, Interactive Devices, Interaction Design and Adaptive and Intelligent Systems.
Adaptive Intelligence
DOWNLOAD
Author : Nitasha Hasteer
language : en
Publisher: Springer Nature
Release Date : 2025-02-27
Adaptive Intelligence written by Nitasha Hasteer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
This book comprises the select peer-reviewed proceedings of the 4th International Conference on Information Technology (InCITe-2024). It aims to provide a comprehensive knowledge base encompassing state-of-the-art research and development in adaptive intelligence, decision intelligence, artificial intelligence, deep learning, machine learning, data science, and enabling technologies for IoT, blockchain, and other futuristic technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, social networks, and intelligence, decision-making, and modeling, information systems, IT architectures, and security related aspects. This book provides a valuable resource for those in academia and industry.