A User-Oriented Language for Specifying Interconnections Between Heterogeneous Objects in the Internet of Things

García, Cristian González; Zhao, Liping; García‐Díaz, Vicente

doi:10.1109/jiot.2019.2891545

Cited by 9 publications

(3 citation statements)

References 43 publications

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“…The methodology we used is based on the ones applied by Gonzalez García et al [34,36,68] and Meana-Llorián et al [69]. We divide the process in several phases, which we will explain in detail shortly, obtaining for each phase a series of measurements to later compare them, followed by an assessment of the users' sentiments about the tool.…”

Section: Methodsmentioning

confidence: 99%

Monte Carlo Tree Search as a Tool for Self-Learning and Teaching People to Play Complete Information Board Games

et al. 2021

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Artificial intelligence allows computer systems to make decisions similar to those of humans. However, the expert knowledge that artificial intelligence systems have is rarely used to teach non-expert humans in a specific knowledge domain. In this paper, we want to explore this possibility by proposing a tool which presents and explains recommendations for playing board games generated by a Monte Carlo Tree Search algorithm combined with Neural Networks. The aim of the aforementioned tool is to showcase the information in an easily interpretable way and to effectively transfer knowledge: in this case, which movements should be avoided, and which action is recommended. Our system displays the state of the game in the form of a tree, showing all the movements available from the current state and a set of their successors. To convince and try to teach people, the tool offers a series of queries and all information available about every possible movement. In addition, it produces a brief textual explanation for those which are recommended or not advisable. To evaluate the tool, we performed a series of user tests, observing and assessing how participants learn while using this system.

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Section: Methodsmentioning

confidence: 99%

Monte Carlo Tree Search as a Tool for Self-Learning and Teaching People to Play Complete Information Board Games

et al. 2021

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“…Several frameworks and standards for the general design and development of intelligent MASs exist, including the Foundation for Intelligent Physical Agents (FIPA) [13][14][15][16][17][18]. There is also research interest in software engineering design and communication of IoT architectures, including developing specific modeling languages for this purpose [19].…”

Section: Existing Approaches To Fault Tolerance and Reliability In Massmentioning

confidence: 99%

“…There have been several different approaches, implementing various fault tolerance techniques to achieve greater agent reliability. Some have approached the problem from the human coder perspective, creating software design and coding tools to facilitate the better design of MAS agents' code [14][15][16][17][18][19]. Others have proposed improvements to the communications protocols which underpin the MAS, including approaches for establishing consensus in leaderless MASs [25,26].…”

Section: Existing Approaches To Fault Tolerance and Reliability In Massmentioning

confidence: 99%

Improving Fault Tolerance and Reliability of Heterogeneous Multi-Agent IoT Systems Using Intelligence Transfer

O’Neill

Soh

2022

Electronics

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Driven by the ever-growing diversity of software and hardware agents available on the market, Internet-of-Things (IoT) systems, functioning as heterogeneous multi-agent systems (MASs), are increasingly required to provide a level of reliability and fault tolerance. In this paper, we develop an approach to generalized quantifiable modeling of fault-tolerant and reliable MAS. We propose a novel software architectural model, the Intelligence Transfer Model (ITM), by which intelligence can be transferred between agents in a heterogeneous MAS. In the ITM, we propose a novel mechanism, the latent acceptable state, which enables it to achieve improved levels of fault tolerance and reliability in task-based redundancy systems, as used in the ITM, in comparison with existing agent-based redundancy approaches. We demonstrate these improvements through experimental testing of the ITM using an open-source candidate implementation of the model, developed in Python, and through an open-source simulator that tested the behavior of ITM-based MASs at scale. The results of these experiments demonstrated improvements in fault tolerance and reliability across all MAS configurations we tested. Fault tolerance was observed to improve by a factor of between 1.27 and 6.34 in comparison with the control group, depending on the ITM configuration tested. Similarly, reliability was observed to improve by a factor of between 1.00 and 4.73. Our proposed model has broad applicability to various IoT applications and generally in MASs that have fault tolerance or reliability requirements, such as in cloud computing and autonomous vehicles.

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Domain-Specific Languages for IoT: Challenges and Opportunities

Salman

Al-Jawad

Tameemi

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Internet of Things (IoT) is a multidisciplinary tool used by field experts to fabricate technology into their discipline; these fields experts thus need access to a simple, understandable and user-friendly programming language for this purpose. Domain-Specific Languages (DSL) have been developed to pave the way for such domain experts to integrate IoT capabilities into their everyday tasks. IoT is thus one of the main technologies targeting human day-to-day activities, and the concept of IoT has caused a general rethink and reimagining of the shape of life in the future. Many researchers are thus working on fields related to IoT such as networking, power consumption, data aggregation and fusion, finding ways to offer this new technology for end user access in a smooth and easy manner. Introducing new application development methods and using software engineering standards and tools that enable end-users to develop their own IoT applications is another aspect that has received attention in the last decade; however, this aspect requires more work from the research community. The main contribution of this paper is to highlight current efforts related to the IoT field and to perform quantitative analysis to highlight the current state of the art in both positive and negative terms, including the current limitations and obstacles faced by both end-users and field experts seeking to build their own IoT applications.

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A User-Oriented Language for Specifying Interconnections Between Heterogeneous Objects in the Internet of Things

Cited by 9 publications

References 43 publications

Monte Carlo Tree Search as a Tool for Self-Learning and Teaching People to Play Complete Information Board Games

Monte Carlo Tree Search as a Tool for Self-Learning and Teaching People to Play Complete Information Board Games

Improving Fault Tolerance and Reliability of Heterogeneous Multi-Agent IoT Systems Using Intelligence Transfer

Domain-Specific Languages for IoT: Challenges and Opportunities

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