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Titlebook: Engineering Multi-Agent Systems; 8th International Wo Cristina Baroglio,Jomi F. Hubner,Michael Winikoff Conference proceedings 2020 Springe

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发表于 2025-3-21 16:31:30 | 显示全部楼层 |阅读模式
书目名称Engineering Multi-Agent Systems
副标题8th International Wo
编辑Cristina Baroglio,Jomi F. Hubner,Michael Winikoff
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Engineering Multi-Agent Systems; 8th International Wo Cristina Baroglio,Jomi F. Hubner,Michael Winikoff Conference proceedings 2020 Springe
描述This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Workshop on Engineering Multi-Agent Systems, EMAS 2020, held in Auckland, New Zealand, in May 2020. Due to the COVID-19 pandemic the conference was held virtually.. The 10 revised full papers presented in this book were carefully selected and reviewed from 16 submissions. The papers cover a broad range of topics in the domains of agent-oriented software engineering, programming multi-agent systems, declarative agent languages and technologies, artificial intelligence, and machine learning..
出版日期Conference proceedings 2020
关键词artificial intelligence; communication channels (information theory); communication systems; computer n
版次1
doihttps://doi.org/10.1007/978-3-030-66534-0
isbn_softcover978-3-030-66533-3
isbn_ebook978-3-030-66534-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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: Tactical Agents for Testing Computer Games,e for programming testing tasks. . is implemented in such a way to provide the fluency of a Domain Specific Language (DSL). Its embedded DSL approach also means that . programmers will get al.l the advantages that Java programmers get: rich language features and a whole array of development tools.
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Orthos: A Trustworthy AI Framework for Data Acquisition,aneous location-based settings and implement an existing state-of-the-art mechanism using .. Additionally, as location information is exogenous to these mechanisms, we design the . protocol to ensure that agents gather the data at the desired locations. We examine the performance of . on Rinkeby Eth
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Emmanuel Sigalas,Johannes Pollakagents within microservices-based architectures. In this model, agents, deployed within microservices, expose aspects of their state as virtual resources that are externally accessible using REpresentational State Transfer (REST). Virtual resources are implemented as CArtAgO artifacts, exposing thei
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Reasoning about Sampling Distribitionsrful, unfortunately they also make them extremely difficult to test. Not only do we have to deal with their functional complexity, but also the fine grained interactivity of their user interface blows up their interaction space, so that traditional automated testing techniques have trouble handling
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https://doi.org/10.1007/978-90-481-9054-6se of systems of distributed and interconnected components. Multiagent Systems (MAS) are valuable for conceptualizing and implementing distributed systems, but the current design methodologies for MAS fall short in addressing robustness in a systematic way at design time. In this paper we outline ou
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Margreet F. Boersma,Pervez N. Ghauries a MAS by specifying the constraints on messaging between agents. Agents enact protocols by applying their own internal decision making..Various kinds of faults may occur when enacting a protocol. For example, messages may be lost, duplicates may be delivered, and agents may crash during the proce
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https://doi.org/10.1007/978-3-030-01102-4e prototype system is based on domestic robot vacuum cleaners equipped with infrared allergen sensors and Amazon echo dot speech interfaces. T.he robots are controlled by a multi-agent system implemented in Jason, which handles (ad hoc) task allocation and robot coordination. We briefly describe the
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