Modeling and Enactment of Business Agents Using Jason

Bădică, Amelia; Bǎdicǎ, Costin; Leon, Florin; Buligiu, Ionuţ

doi:10.1145/2903220.2903253

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…For example smart products can be represented as agents incorporating smart objects (Savaglio et al, 2020). Smart consumers can be represented using personalized agents, while business applications can be conceptualized as business agents (Bădică et al, 2016) of various granularities, depending on their specific requirements.…”

Section: Iot-enhanced Conceptual Framework For Digital Marketingmentioning

confidence: 99%

IOT-Enhanced Digital Marketing Conceptual Framework

Badica

Mitucă²

2021

BRAIN

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The research proposed in this paper regards the appropriateness and possibility of enhancing digital marketing with IoT technologies. The contribution of this paper is a novel digital marketing conceptual framework based on the ubiquitous and pervasive IoT technologies, empowered by the synergies of edge, fog and cloud computing. Our proposal is grounded into the general framework of digital marketing research proposed by Kannan and Li, as well as on the comprehensive agent-based IoT paradigm, thoroughly analysed by Savaglio et al. This framework is capable to seamlessly support the emergent marketing approaches including: contextual marketing, intelligent marketing, and omniscient marketing. On the other hand, this proposal can also benefit from the techniques and methodologies for building secure and robust IoT systems that were recently proposed by Pešić et al, for increasing the security and trust of IoT-based digital marketing ecosystems.

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Section: Iot-enhanced Conceptual Framework For Digital Marketingmentioning

confidence: 99%

IOT-Enhanced Digital Marketing Conceptual Framework

Badica

Mitucă²

2021

BRAIN

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“…Such a notion is not widely developed in the mainstream enterprise modelling tools. Some other researches have explored the link between business processes and intelligent systems [42], showing how a role activity diagram (RAD) can be implemented using multi-agent systems. The adaptive EM platform allows enterprises to intertwine between the design-time and run-time configuration in a semi-automated manner.…”

Section: Requirements For Adaptive Enterprise Modelling Platformmentioning

confidence: 99%

“…Furthermore, agents can learn and make decisions towards the optimal goal set by managers using AI techniques which enables agents to evolve, adapt and change their behaviour according to the new situation, in order to achieve the assigned goal (e.g. using human cognitive BDI agent structure (belief, desire, intention, and action)) [42]. It will make enterprises adaptable according to the environment changes towards the realisation of the dynamic information systems' architecture.…”

Section: Em For Adaptive Enterprise Systems -Future Scopementioning

confidence: 99%

Toward an Adaptive Enterprise Modelling Platform

Fayoumi¹

2018

Lecture Notes in Business Information Processing

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For the past three decades, enterprise modelling (EM) has been emerging as a significant yet complex paradigm to tackle holistic systematic enterprise analysis and design. With a high fluctuation in the global economy, industrial stability and technology shift, the necessity of such paradigms becomes crucial in determining the decisions that an enterprise can make for surviving in such a highly dynamic business ecosystem. EM practices have focused for a long time, on the design-time of enterprise systems. Recently, there has been a rapid development in data analytics, machine learning and intelligent systems from which an EM platform can benefit. EM needs to cope with the new changes in both business and technology; it should also help architects to determine optimum decisions and reduce complexity in technical infrastructure. In this paper, the author discusses several challenges facing enterprise modelling practices and offers an architectural notion for future development focusing on the requirements of a platform that can be called intelligent and adaptive.

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Towards Understanding Quality-Related Characteristics in Knowledge-Intensive Processes - A Systematic Literature Review

Simoes

Melo

Abreu

et al. 2021

Communications in Computer and Information Science

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Context Contemporary process management systems have been supporting users during the execution of repetitive, predefined business processes. Many business processes are no longer limited to explicit business rules as processes can be unpredictable, knowledge-driven and emergent. In recent years, knowledge-intensive processes (KIPs) have become more important for many businesses. However, quality-related aspects of these processes are still scarce. Therefore, it is hard to evaluate these types of processes in terms of their quality. Objective: In this paper, we present a Systematic Literature Review aiming at investigating and reporting quality-related aspects of KIPs. Results: We identified in the selected studies the characteristics and methods related to KIPs. Although several papers present quality aspects of processes, literature still lacks papers with directions on the quality-related approaches in KIPs.

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Modeling and Enactment of Business Agents Using Jason

Cited by 6 publications

References 17 publications

IOT-Enhanced Digital Marketing Conceptual Framework

IOT-Enhanced Digital Marketing Conceptual Framework

Toward an Adaptive Enterprise Modelling Platform

Towards Understanding Quality-Related Characteristics in Knowledge-Intensive Processes - A Systematic Literature Review

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