A Thorough Insight into Theoretical and Practical Developments in MultiAgent Systems

2017 ◽  
Vol 8 (1) ◽  
pp. 23-49 ◽  
Author(s):  
Dimple Juneja ◽  
Aarti Singh ◽  
Rashmi Singh ◽  
Saurabh Mukherjee

Multiagent systems have been a fascination for research community and are often seen as an intelligent solution to many complex real world problems. Researchers have been active in the domain since last three decades and many developments pertaining to theoretical design and practical developments of multiagent systems are worth appreciating. The growth in MAS is multidirectional ranging from conceptual ideas to practical implementations and from the wide range of applications; it appears that multiagent systems are proving to be universal. The paper presents a concise survey of developments in MAS highlighting the important contributions in the field and also questions the universal applicability of agents.

2020 ◽  
pp. 83-111
Author(s):  
Dimple Juneja ◽  
Aarti Singh ◽  
Rashmi Singh ◽  
Saurabh Mukherjee

Multiagent systems have been a fascination for research community and are often seen as an intelligent solution to many complex real world problems. Researchers have been active in the domain since last three decades and many developments pertaining to theoretical design and practical developments of multiagent systems are worth appreciating. The growth in MAS is multidirectional ranging from conceptual ideas to practical implementations and from the wide range of applications; it appears that multiagent systems are proving to be universal. The paper presents a concise survey of developments in MAS highlighting the important contributions in the field and also questions the universal applicability of agents.


2021 ◽  
Vol 5 (2) ◽  
pp. 52-68
Author(s):  
Erica Pretorius ◽  
Hanna Nel

This article provides insight into a fourth-year social work module, integrating an authentic learning task. This task focused on the development of a funding proposal for a social service organization. It attempted to integrate collaborative learning by scaffolding students’ participation in the world of work, rather than just receiving a qualification. In view of the prevalent conversation around the Fourth Industrial Revolution and the Covid-19 pandemic, it is essential that lecturers at higher education institutions embrace collaborative and problem-solving skills for student tasks. Recent evidence suggests that higher education graduates’ learning and their readiness for work in a professional environment require a greater focus on creative and innovative thinking to solve real-world problems. The results from this qualitative investigation revealed that students found working in teams and collaborating with their peers both challenging and rewarding. This process contributed to the holistic development of social workers ready to work in the real-world.


Author(s):  
ANA PALACIOS ◽  
LUCIANO SANCHEZ ◽  
INES COUSO

An extension of the Adaboost algorithm for obtaining fuzzy rule-based systems from low quality data is combined with preprocessing algorithms for equalizing imbalanced datasets. With the help of synthetic and real-world problems, it is shown that the performance of the Adaboost algorithm is degraded in presence of a moderate uncertainty in either the input or the output values. It is also established that a preprocessing stage improves the accuracy of the classifier in a wide range of binary classification problems, including those whose imbalance ratio is uncertain.


Real world problems can be analyzed and solved effectively and efficiently by observing the environment and its phenomenon. We can analyze the nature of the problem by looking for a solution in the environment. The evolution of such systematic handling of the problematic scenario to find an amicable and efficient solution can be applied to real world physical problems. Thus the application of procedures (algorithms) by different species has evolved into a novel idea referred as Nature Inspired Algorithms. It has gained wider publicity and popularity in the present research. One of the most popular nature inspired algorithm which has grabbed the attention of the world is Firefly Algorithm (FA).The Firefly Algorithm has a wide range of applicability in different disciplines. We tried to compare this algorithm along with its variants. We also throw some light on various characteristics of the Firefly Algorithm that makes it a far more efficient algorithm when compared to the rest of such similar algorithms


2021 ◽  
Vol 13 (2) ◽  
pp. 181-200
Author(s):  
Patrick Studer

This contribution analyses the argumentative premises underlying applied linguistic research conducted in the area of English-medium instruction. Applied linguistics not only studies language as it is used in the real world but is widely understood as an approach through which real-world problems in matters of language can be solved. It comes as no surprise, therefore, that applied linguistics is commonly used as a diagnostic perspective in English-medium instruction (EMI) research where it aims to provide insight into issues in need of fixing or improvement. Such studies are not conducted in an argumentative vacuum: they are embedded in a background process of policymaking, debate and discussion by stakeholders and policymakers who are involved in the introduction of English as an international language in higher education. This paper aims to highlight the argumentative backdrop against which applied linguistic research into EMI is construed and legitimised. Analysing conference abstracts in the field of EMI, the paper seeks to draw attention to everyday logic and beliefs applied linguists engage in when submitting paper proposals for conferences. It calls for a critical applied linguistic research agenda which foregrounds the potential ideological effects everyday conceptualisations of language have on EMI research and, ultimately, on EMI policymaking.


Oryx ◽  
2019 ◽  
pp. 1-8 ◽  
Author(s):  
Jasper Montana ◽  
Chris Sandbrook ◽  
Ellen Robertson ◽  
Melanie Ryan

Abstract Conservation researchers are increasingly drawing on a wide range of philosophies, methods and values to examine conservation problems. Here we adopt methods from social psychology to develop a questionnaire with the dual purpose of illuminating diversity within conservation research communities and providing a tool for use in cross-disciplinary dialogue workshops. The questionnaire probes the preferences that different researchers have with regards to conservation science. It elicits insight into their motivations for carrying out research, the scales at which they tackle problems, the subjects they focus on, their beliefs about the connections between nature and society, their sense of reality as absolute or socially constituted, and their propensity for collaboration. Testing the questionnaire with a group of 204 conservation scientists at a student conference on conservation science, we illustrate the latent and multidimensional diversity in the research preferences held by conservation scientists. We suggest that creating opportunities to further explore these differences and similarities using facilitated dialogue could enrich the mutual understanding of the diverse research community in the conservation field.


Author(s):  
Edward Sw Ti

Cake-cutting is a longstanding metaphor for ‘a wide range of real-world problems that involve’ the division of anything of value. Unsurprisingly, where owners of a strata scheme wish to end the strata scheme and collectively sell their development, one of the most contentious issues may be the apportionment of sale proceeds. In Singapore, this problem is compounded in mixed developments which have both commercial and residential elements as well as in developments with different sized units, often with disproportionate strata share values; even differing facings and the state of one’s unit may attract disenchantment when trying to apportion proceeds. This article critically analyses how New South Wales (‘NSW’) and Singapore allocate proceeds pursuant to a collective sale of strata property. In this respect, the Strata Schemes Development Act 2015 (NSW) and Strata Schemes Management Act 2015 (NSW) are significantly clearer than Singapore’s Land Titles (Strata) Act (Singapore, cap 158, rev ed 2009) as the latter does not prescribe any statutory formula for apportionment. In examining the jurisprudence and respective strata frameworks, this article proposes how proceeds in a collective sale could be more fairly apportioned.


2005 ◽  
Vol 20 (2) ◽  
pp. 127-141 ◽  
Author(s):  
DANNY WEYNS ◽  
MICHAEL SCHUMACHER ◽  
ALESSANDRO RICCI ◽  
MIRKO VIROLI ◽  
TOM HOLVOET

There is a growing awareness in the multiagent systems research community that the environment plays a prominent role in multiagent systems. Originating from research on behavior-based agent systems and situated multiagent systems, the importance of the environment is now gradually being accepted in the multiagent system community in general. In this paper, we put forward the environment as a first-order abstraction in multiagent systems. This position is motivated by the fact that several aspects of multiagent systems that conceptually do not belong to agents themselves should not be assigned to, or hosted inside the agents. Examples are infrastructure for communication, the topology of a spatial domain or support for the action model. These and other aspects should be considered explicitly. The environment is the natural candidate to encapsulate these aspects. We elaborate on environment engineering, and we illustrate how the environment plays a central role in a real-world multiagent system application.


Author(s):  
Sergio Nesmachnow

This chapter provides an insight into the main concepts, theoretical advances, and experimental results in the field of metaheuristics, when applied for efficiently solving real-world optimization problems. A general view of the most well-known metaheuristic methods is presented. After that, relevant applications of metaheuristics in nowadays real-world problems from several domains are described, highlighting their capabilities to solve complex problems with high efficiency. Finally, the main current and future research lines in the field are also summarized and commented on.


Author(s):  
Sergio Nesmachnow

This chapter provides an insight into the main concepts, theoretical advances, and experimental results in the field of metaheuristics, when applied for efficiently solving real-world optimization problems. A general view of the most well-known metaheuristic methods is presented. After that, relevant applications of metaheuristics in nowadays real-world problems from several domains are described, highlighting on their capabilities to solve complex problems with high efficiency. Finally, the main current and future research lines in the field are also summarized and commented.


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