Prima 2022 Principles And Practice Of Multi Agent Systems
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Prima 2022 Principles And Practice Of Multi Agent Systems
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Author : Reyhan Aydoğan
language : en
Publisher: Springer Nature
Release Date : 2022-11-11
Prima 2022 Principles And Practice Of Multi Agent Systems written by Reyhan Aydoğan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-11 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 hybrid mode in Valencia, Spain, in November 2022. The 31 full papers presented together with 15 short papers and 1 demo paper were carefully reviewed and selected from 100 submissions. 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.
Prima 2016 Principles And Practice Of Multi Agent Systems
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Author : Matteo Baldoni
language : en
Publisher: Springer
Release Date : 2016-08-10
Prima 2016 Principles And Practice Of Multi Agent Systems written by Matteo Baldoni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-10 with Computers categories.
This book constitutes the refereed proceedings of the 19th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2016, held in Phuket, Thailand, in August 22-26, 2016. The 16 revised full papers presented together with two invited papers, 9 short papers and three extended abstracts were carefully reviewed and selected from 50 submissions. The intention of the papers is to showcase research in several domains, ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
Prima 2015 Principles And Practice Of Multi Agent Systems
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Author : Qingliang Chen
language : en
Publisher:
Release Date : 2015
Prima 2015 Principles And Practice Of Multi Agent Systems written by Qingliang Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
This book constitutes the proceedings of the 18th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2015, held in Bertinoro, Italy, in October 2015. The 29 full papers and 24 short papers presented in this volume were carefully reviewed and selected from 94 submissions. The conference brings together active researchers, developers and practitioners from both academia and industry to showcase, share and promote research in several domains, ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
Advances In Practical Applications Of Agents Multi Agent Systems And Cognitive Mimetics The Paams Collection
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Author : Philippe Mathieu
language : en
Publisher: Springer Nature
Release Date : 2023-07-11
Advances In Practical Applications Of Agents Multi Agent Systems And Cognitive Mimetics The Paams Collection written by Philippe Mathieu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-11 with Computers categories.
This book constitutes the proceedings of the 21st International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2023, held in Guimaraes, Portugal, in July 2023. The 32 full papers in this book were reviewed and selected from 70 submissions. 5 demonstration papers are also included in this volume. The papers deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, education and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.
Explainable And Transparent Ai And Multi Agent Systems
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Author : Davide Calvaresi
language : en
Publisher: Springer Nature
Release Date :
Explainable And Transparent Ai And Multi Agent Systems written by Davide Calvaresi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Engineering Multi Agent Systems
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Author : Andrei Ciortea
language : en
Publisher: Springer Nature
Release Date :
Engineering Multi Agent Systems written by Andrei Ciortea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Automated Reasoning With Analytic Tableaux And Related Methods
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Author : Revantha Ramanayake
language : en
Publisher: Springer Nature
Release Date : 2023-10-15
Automated Reasoning With Analytic Tableaux And Related Methods written by Revantha Ramanayake and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-15 with Computers categories.
This open access book constitutes the proceedings of the proceedings of the 32nd International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, TABLEAUX 2023, held in Prague, Czech Republic, during September 18-21, 2023. The 20 full papers and 5 short papers included in this book together with 5 abstracts of invited talks were carefully reviewed and selected from 43 submissions. They present research on all aspects of the mechanization of reasoning with tableaux and related methods. The papers are organized in the following topical sections: tableau calculi; sequent calculi; theorem proving; non-wellfounded proofs; modal logics; linear logic and MV-algebras; separation logic; and first-order logics.
Advances In Practical Applications Of Agents Multi Agent Systems And Complex Systems Simulation
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Author : Frank Dignum
language : en
Publisher:
Release Date : 2022
Advances In Practical Applications Of Agents Multi Agent Systems And Complex Systems Simulation written by Frank Dignum and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Cooperating objects (Computer systems) categories.
This book constitutes the proceedings of the 20th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2022, held in L'Aquila, Italy in July 2022. The 37 full papers in this book were reviewed and selected from 67 submissions. Another 10 demonstrations papers were selected from 11 submissions are presented here as short papers. The papers deal with the application and validation of agent-based models, methods, and technologies in a number of key applications areas, including: advanced models and learning, agent-based programming, decision-making, education and social interactions, formal and theoretic models, health and safety, mobility and the city, swarms and task allocation.
Dividing The Indivisible
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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.
Autonomous Agents And Multiagent Systems Best And Visionary Papers
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Author : Francisco S. Melo
language : en
Publisher: Springer Nature
Release Date : 2022-11-05
Autonomous Agents And Multiagent Systems Best And Visionary Papers written by Francisco S. Melo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-05 with Computers categories.
This book constitutes thoroughly refereed and revised selected best and visionary papers from the Workshops held at the International Conference on Autonomous Agents and Multiagent Systems AAMAS 2022, which took place online, during May 9–13, 2022. The 5 best papers and 4 visionary papers included in this book stem from the following workshops: - 13th Workshop on Optimization and Learning in Multi-agent Systems (OptLearnMAS);- 23rd Workshop on Multi-Agent Based Simulation (MABS);- 6th Workshop on Agent-Based Modelling of Urban Systems (ABMUS);- 10th Workshop on Engineering Multi-Agent Systems (EMAS);- 1st Workshop on Rebellion and Disobedience in AI (RaD-AI). There was a total of 59 submissions to these workshops.