Eve: A Novel Open-Source Web-Based Agent Platform

Jong, Jos de; Stellingwerff, Ludo; Pazienza, Giovanni Egidio

doi:10.1109/smc.2013.265

Cited by 17 publications

(8 citation statements)

References 6 publications

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“…EVE [10], is a web-based agent platform that works on top of the Jetty Web Server. Jetty is a "small, fast, embeddable web server and servlet container" [11].…”

Section: Methodsmentioning

confidence: 99%

Autonomous and Self Controlling Smart Objects for the Future Internet

Hernández

Reiff-Marganiec

2015

2015 3rd International Conference on Future Internet of Things and Cloud

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Abstract-Development of IoT applications relies heavily on middleware architectures. Multiple solutions have been proposed using service and agent paradigms, that consequently imposes an specific application development model. We observe a trend towards a data-feeder approach in which smart objects are simple data gatherers and senders. This approach reduce the autonomy of smart objects and brings privacy concerns about the data and service manipulation by remote applications and services. We propose a new approach for middleware and application development for smart objects based on web agents and services. Specifically, we integrate services as part of activities included in roles of a web agent allowing us to keep control of the service and data generated on-object, in contrast to delegating to remote applications or services. In addition, our P2P-inspired method for service discovery gives autonomy to smart objects since a central directory is not required to interact with others. We completed an initial implementation of our architecture and demonstrate its feasibility in a case study in the smart home domain.

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“…EVE [10], is a web-based agent platform that works on top of the Jetty Web Server. Jetty is a "small, fast, embeddable web server and servlet container" [11].…”

Section: Methodsmentioning

confidence: 99%

Autonomous and Self Controlling Smart Objects for the Future Internet

Hernández

Reiff-Marganiec

2015

2015 3rd International Conference on Future Internet of Things and Cloud

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“…Some examples of environments in ABMS include simulated geographical location [142], living organisms such as animals [143], the financial markets [144], and a product-manufacturing shop floor [111]. In MAS, the environment is usually a software platform that offers services such as communication, life-cycle management, or advertisement of agent's services, for instance, JADE [145] or EVE [146].…”

Section: Motion Dynamics Uncertainty Deterministicmentioning

confidence: 99%

Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering

et al. 2020

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Systems engineering is an ubiquitous discipline of Engineering overlapping industrial, chemical, mechanical, manufacturing, control, software, electrical, and civil engineering. It provides tools for dealing with the complexity and dynamics related to the optimisation of physical, natural, and virtual systems management. This paper presents a review of how multi-agent systems and complex networks theory are brought together to address systems engineering and management problems. The review also encompasses current and future research directions both for theoretical fundamentals and applications in the industry. This is made by considering trends such as mesoscale, multiscale, and multilayer networks along with the state-of-art analysis on network dynamics and intelligent networks. Critical and smart infrastructure, manufacturing processes, and supply chain networks are instances of research topics for which this literature review is highly relevant.Processes 2020, 8, 312 2 of 29 in a telecommunication system network, nodes (e.g., routers and switches) may suffer over time a degradation in their properties that may lead them to diminish their performance. However, just the daily variation on traffic demand also has an impact on such nodes performance. Unexpected, external intervention such as cyber-attacks or extreme weather conditions may affect the properties, even the topology of a telecommunication system.Intelligent distributed systems are capable of modelling how different parts of the network might work individually and collectively [10]. Ultimately, this is used as support for any decision-making system aiming to achieve better overall system functioning and its consequent performance. Intelligent distributed systems encompass autonomous learning units that can be associated with the nodes of a complex network. These intelligent network nodes are able to act independently and also interact with other nodes to pursue both individual (local) and general system-level targets. The necessary communication between individuals can be represented by links of the complex network connecting their nodes. It is natural to understand such nodes as intelligent agents within a MAS framework. Each agent separately obeying simple rules but working together with other agents makes it possible to approach complex engineering challenges. Intelligent distributed systems have been proposed in a broad range of engineered complex systems [11,12]. Precisely, the review proposed herein focuses only on engineered systems and manufacturing processes, given the wide spectrum of the approached topic. Out of this review fall, then, topics related to social systems analysis such as migration models [13,14] or online social media [15,16]. Similarly, natural systems are out of this review scope. This is the case of computational chemistry [17,18], biology [19,20], and metabolic networks [21,22].Automatic optimisation and control in an engineering system is associated with a near real-time data acquisition and an optimal decision-making. Th...

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“…In its ability to integrate seamlessly with the Fabric technology, JS-son distinguishes itself from other agent programming frameworks such as the Java-based Jason platform [49] (for a comprehensive overview of agent platforms, see Kravari and Bassiliades [50]). Moreover, while another JavaScript agent library-Eve [51]-can potentially be considered as an alternative, this library only provides abstractions for agent distribution, which is more little relevance for our use case type, and does not come with reasoning-loop abstractions. Moreover, Eve is at the time of writing unmaintained.…”

Section: Technologiesmentioning

confidence: 99%

Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes

Kampik

Najjar

2020

Information

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Information systems execute increasingly complex business processes, often across organizations. Blockchain technology has emerged as a potential facilitator of (semi)-autonomous cross-organizational business process execution; in particular, so-called consortium blockchains can be considered as promising enablers in this context, as they do not require the use of cryptocurrency-based blockchain technology, as long as the trusted (authenticated) members of the network are willing to provide computing resources for consensus-finding. However, increased autonomy in the execution of business processes also requires the delegation of business decisions to machines. To support complex decision-making processes by assessing potential future outcomes, agent-based simulations can be considered a useful tool for the autonomous enterprise. In this paper, we explore the intersection of multi-agent simulations and consortium blockchain technology in the context of enterprise applications by devising architectures and technology stacks for both off-chain and on-chain agent-based simulation in the context of blockchain-based business process execution.

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Eve: A Novel Open-Source Web-Based Agent Platform

Cited by 17 publications

References 6 publications

Autonomous and Self Controlling Smart Objects for the Future Internet

Autonomous and Self Controlling Smart Objects for the Future Internet

Multi-Agent Systems and Complex Networks: Review and Applications in Systems Engineering

Simulating, Off-Chain and On-Chain: Agent-Based Simulations in Cross-Organizational Business Processes

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