Deployment of Software Agents and Application of Fuzzy Controller on the UWB Localization Based Mobile Robots

Karaduman, Burak; Tezel, Baris Tekin; Challenger, Moharram

doi:10.1007/978-3-031-09173-5_13

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Fuzzy logic-based BDI agents aim to integrate the fuzzy logic theory into the software BDI agents to enhance the decision-making, action, reasoning, and plan selection capabilities under run-time uncertainties [13,18,19]. The fuzzy logic approaches are decomposed and encapsulated into the artifacts.…”

Section: Fuzzy Logic-based Bdi Agentsmentioning

confidence: 99%

“…To evaluate the effectiveness of the fuzzy BDI method, we ran experiments and statistical approaches. Interested readers can find the details of the study in [13,19]. It was then decided to create a concrete study to deploy the software agents onto an embedded board to control an actual motor, a basic CPS example, as it makes a rotational movement.…”

Section: Jason Only Implementationmentioning

confidence: 99%

“…This work proposes a novel method to integrate the fuzzy set theory with the multiagent system in the scope of smart and innovative solutions, including a symmetrical approach that uses multi-agent systems as an integral paradigm to leverage CPS and IoT approaches based on symmetric fuzzy functions. Furthermore, this study provides design steps to integrate these multiple paradigms based on previous studies [13,19]. The study was extended via the JaCa platform to provide an ecosystem that runs the aforementioned paradigms and approaches.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing BDI Agents Using Fuzzy Logic for CPS and IoT Interoperability Using the JaCa Platform

2022

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Cyber-physical systems (CPSs) are complex systems interacting with the physical world where instant external changes and uncertain events exist. The Internet of Things is a paradigm that can interoperate with a CPS to increase the CPS’s network and communication capabilities. In the literature, software agents, particularly belief–desire–intention (BDI) agents, are considered options to program these heterogeneous and complex systems in various domains. Moreover, fuzzy logic is a method for handling uncertainties. Therefore, the enhancement of BDI with fuzzy logic can also be employed to improve the abilities, such that autonomy, pro-activity, and reasoning, which are essentials for intelligent systems. These features can be applied in CPSs and IoT interoperable systems. This study extends the CPSs and IoT interoperable systems using fuzzy logic and intelligent agents as symmetric paradigms that equally leverage these domains as well as benefit the agent & artifact approach. In this regard, the main contribution of this study is the integration approach, used to combine the CPS and IoT augmented with fuzzy logic using BDI agents. The study begins with constructing the design primitives from scratch and shows how Jason BDI agents can control the distributed CPS. The study then performs the artifact approach by encapsulating a fuzzy inference system, utilizing time-based reasoning, and benefiting from symmetric fuzzy functions. Lastly, the study applies the self-adaptiveness method and flexibility plan selection, considering the run-time MAPE-K model to tackle run-time uncertainty.

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Section: Fuzzy Logic-based Bdi Agentsmentioning

confidence: 99%

Section: Jason Only Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Enhancing BDI Agents Using Fuzzy Logic for CPS and IoT Interoperability Using the JaCa Platform

2022

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A Multi-Robot Warehouse System: An Exemplar

Marah,

Paredis,

Challenger

et al. 2023

2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)

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Integrating Fuzzy Logic into Intelligent Agents: Experiments on a CPS

Karaduman

Tezel

Challenger

2023

Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi

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Siber-fiziksel Sistemler (SFS), anlık dış değişikliklerin olduğu fiziksel dünya ile etkileşime giren karmaşık yapıdaki sistemlerdir. Literatürde, yazılım etmenleri bu karmaşık yapıdaki sistemlerin programlanması için bir seçenek olarak kabul edilir ve sahip oldukları özellikleri geliştirmek için bulanık mantık ile birlikte kullanılabilir. Etmen odaklı yaklaşımlar, özellikle Kanı-İstek-Hedef (KİH) mimarisi, çeşitli uygulamalarda kullanılmaktadır. Siber-fiziksel Sistemler alanında özerklik, önalma ve insan benzeri akıl yürütme, bir sistemin zekasını geliştirmek için gereken temel unsurlardır. KİH etmenleri tarafından bu özellikler, sistemlerin karmaşık olduğu SFS de uygulanabilir ve bulanık mantık ile kapasiteleri genişletilebilir. Bu çalışma, SFS'deki kusurlu olabilecek hesaplamaları azaltmak amacıyla bulanık mantığı baz alarak KİH mimarisine bağlı akıllı etmenleri uygular. Önerilen bulanık KİH yaklaşımını değerlendirmek için bir MİB fan sistemi kullanılmıştır. İlk olarak, sıcaklık duyargasının herhangi bir örnekleme gürültüsü olmadan ideal olduğu varsayılarak sistem test edilmiştir. Normal KİH ve bulanık mantık tabanlı KİH ayrı ayrı uygulanarak sonuçlar test edilmiştir. Daha sonra -+ beş hata oranı dikkate alınarak veri örnekleme süreci test edilmiştir. Hem ideal hem de gürültülü veriler için bulanık KİH yaklaşımının önemli bir gelişme gösterdiği sonucuna varılmıştır. Ayrıca, somut bir vaka çalışması da kullanarak Jason KİH için akıl yürütme döngüsü kısıtlamaları denenmiştir.

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Deployment of Software Agents and Application of Fuzzy Controller on the UWB Localization Based Mobile Robots

Cited by 3 publications

References 13 publications

Enhancing BDI Agents Using Fuzzy Logic for CPS and IoT Interoperability Using the JaCa Platform

Enhancing BDI Agents Using Fuzzy Logic for CPS and IoT Interoperability Using the JaCa Platform

A Multi-Robot Warehouse System: An Exemplar

Integrating Fuzzy Logic into Intelligent Agents: Experiments on a CPS

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