Translation of statechart agents into a BDI framework for MAS engineering

Fortino, Giancarlo; Rango, Francesco De; Russo, Wilma; Santoro, Corrado

doi:10.1016/j.engappai.2015.01.012

Cited by 13 publications

(8 citation statements)

References 25 publications

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“…There are two distinct planes handling content delivery and group-based streaming control. Other findings to enhance infrastructure performance with the help of social knowledge were provided in [34], [35]. In [35], the author formulated an algorithm to form group of agents in CoT environments by utilizing peers' trust and reputation.…”

Section: Theoretical Background a Recent Work In E-learning (Momentioning

confidence: 99%

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Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

et al. 2019

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The widespread adoption of technology-enhanced learning in various knowledge disciplines has pushed forward the development of information technology-assisted media for language learning and teaching. However, most of the existing electronic-learning (e-learning) solutions have underexplored and under-addressed given specific characteristics of grammar learning, which is one of the most demanding areas of language education. The lack of pedagogically informed instructional design to enhance learning performance on the current system can result in low motivation and engagement due to an imbalance and excessive increase of the cognitive load. This paper attempts to address these deficiencies posed by the existing systems by proposing smart communication networks that are driven by the student learning experience to manage cognitive load in the context of grammar learning. The e-grammar learning networks serve as a collaborative learning platform that combines a pedagogically informed instructional model named attention, relevance, confidence, and satisfaction (ARCS) and cyber interaction among teaching/learning agents. From the technological perspective, our numerical simulations demonstrate the desirable performance indicators of the proposed networks to facilitate information exchange and learning. From the education perspective, our empirical studies show that the overall smart network-enabled e-grammar learning system has desirable characteristics to motivate learners (m = 3.78) and manage their overall cognitive load (m =1.73), which suggest the promising capability of the proposed system.

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Section: Theoretical Background a Recent Work In E-learning (Momentioning

confidence: 99%

“…Finally, a voting takes place to decide whether an agent belong to certain group. A slightly different approach was used in [34] where author mainly focused on Multi-Agent System (MAS). The study was able to create a mapping between two models to facilitate the development of autonomous system.…”

Section: Theoretical Background a Recent Work In E-learning (Momentioning

confidence: 99%

Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

et al. 2019

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“…Similarly, the authors in Han et al dealt with managing exceptions in medical workflows. In the field of MASs, the paper in introduced a simulation‐based methodology to validate a design, manually generated by using a CASE tool while the one in exploits different design methods in a single logical framework. Proactive behaviours and different paradigms are two main concepts that we consider in our approach for modelling autonomic reactive behaviours.…”

Section: Related Workmentioning

confidence: 99%

Reactive behavioural adaptation of service compositions

Tretola¹,

Zimeo

2019

J Software Evolu Process

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We are assisting to a paradigmatic shift in developing Web applications since their components are often distributed and deployed as services among different organizations. Their logic is based on a set of actions that can be linked together by exploiting higher level languages more suitable to address the scale of the Web. On this multi-organization scale, applications can be influenced by different context events generated by the environment where they run. Handling these events requires run-time adaptations of the application's behaviour to react, properly and quickly, to changes. The paper addresses these needs by proposing a programming paradigm based on ''autonomic service compositions,'' ie, compositions that are able to self-change their structure, according to a specific life cycle, to allow for the continuation of execution, even if unexpected events arise. The approach exploits autonomic computing and reasoning for taking decision on information collected during processes execution. Autonomic actions on composition structures are performed using Event Condition Action rules and a set of meta-operations. The approach is detailed, analysed, and discussed with reference to some examples derived from a real-world application. KEYWORDSautonomic computing, self-management, service composition, software adaptation INTRODUCTIONWe are assisting to a significant change in Web applications development. Up to now, they have been often composed of a business logic hosted by a robust application server (in many cases replicated for ensuring fault-tolerance and scalability) exposing an HTTP interface for enabling remote access. Today, the diffusion of Web services is promoting a large-scale componentization of Web applications through services hosted by several containerized application servers that can belong to different administration domains.These multi-organization Web applications represent today an ideal IT solution for implementing virtual enterprises or complex valued added services, aiming at taking advantage of opportunities in a rapidly changing market, through B2B interactions with different organizations. In this context, the probability of experimenting with an exceptional behaviour is very high due to the high number of software components involved, which are not under the control of a unique organization. Moreover, business constraints introduce a new level of exception handling complexity derived by unsatisfactory behaviours of the services involved in Web processes.Programming the complex behaviour of a multi-organization Web application is a difficult conceptual activity. The heterogeneity of the execution environment calls for the adoption of a high-level language that is able to drive the behaviour of each component node of a large-scale application, which is based on distributed resources, human or automated, for performing the programmed tasks 1 whereas unexpected events introduce the need of adapting their control structure to satisfy the requirements emerging in the execution context. 2 Thes...

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“…Software agents proved appropriate for the engineering of complex contemporary applications that are composed of many, possibly heterogeneous, interacting, fault tolerant, and distributed components that operate in highly dynamic and uncertain environments (C. Bădică, Conrado, Mignet, de Oude, & Pavlin, ; Jennings & Bussmann, ). During the last decade, researchers were interested in investigating the relationships between multi‐agent systems and continuous dynamic systems regarding the modelling, simulation, and implementation aspects (A. Bădică, Bădică, Brezovan, and Ivanović, ; A. Bădică, Bădică, Ivanović, & Mitrović, ; Bogaerts et al, ; Borshchev & Filippov, ; Fortino, Rango, Russo, & Santoro, ; Macal, ).…”

Section: Introductionmentioning

confidence: 99%

Multi‐agent modelling and simulation of graph‐based predator–prey dynamic systems: A BDI approach

et al. 2018

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We propose a new framework based on Belief‐Desire‐Intention multi‐agent systems for the macroscopic modelling and simulation of continuous dynamic systems. The main idea is to break down the target system model into a collection of autonomous and loosely coupled interacting components endowed with clean message‐based interfaces and local intelligence. Each component is then mapped to a Belief‐Desire‐Intention agent that captures its state as a set of logical facts and its behavioural patterns as a set of plans. The system model can be described as a multi‐agent programme that is specified using the state‐of‐the‐art Jason agent‐oriented programming language. The approach is evaluated by considering a generalized graph‐based model of predator–prey systems. Our approach supports the configuration of the multi‐agent model with various differential equations integration methods, as required by the specific problem.

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Translation of statechart agents into a BDI framework for MAS engineering

Cited by 13 publications

References 25 publications

Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

Interactive Learning Experience-Driven Smart Communications Networks for Cognitive Load Management in Grammar Learning Context

Reactive behavioural adaptation of service compositions

Multi‐agent modelling and simulation of graph‐based predator–prey dynamic systems: A BDI approach

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