scholarly journals Developing Tools for Networks of Processors

Triangle ◽  
2018 ◽  
pp. 25
Author(s):  
Alfonso Ortega de la Puente ◽  
Marina De la Cruz Echeandía ◽  
Emilio Del Rosal ◽  
Carmen Navarrete Navarrete ◽  
Antonio Jiménez Martínez ◽  
...  

A great deal of research eort is currently being made in the realm of so called natural computing. Natural computing mainly focuses on the denition, formal description, analysis, simulation and programming of new models of computation (usually with the same expressive power as Turing Machines) inspired by Nature, which makes them particularly suitable for the simulation of complex systems.Some of the best known natural computers are Lindenmayer systems (Lsystems, a kind of grammar with parallel derivation), cellular automata, DNA computing, genetic and evolutionary algorithms, multi agent systems, arti- cial neural networks, P-systems (computation inspired by membranes) and NEPs (or networks of evolutionary processors). This chapter is devoted to this last model.

10.29007/ntkm ◽  
2018 ◽  
Author(s):  
Frank Pfenning

Epistemic logic analyzes reasoning governing localized knowledge, and is thus fundamental to multi- agent systems. Linear logic treats hypotheses as consumable resources, allowing us to model evolution of state. Combining principles from these two separate traditions into a single coherent logic allows us to represent localized consumable resources and their flow in a distributed system. The slogan “possession is linear knowledge” summarizes the underlying idea. We walk through the design of a linear epistemic logic and discuss its basic metatheoretic properties such as cut elimination. We illustrate its expressive power with several examples drawn from an ongoing effort to design and implement a linear epistemic logic programming language for multi-agent distributed systems.


Author(s):  
D. A. Murashov ◽  
◽  
M. A. Murashova ◽  

The paper describes the results of creating a model implementing an approach to coordination in multi-agent systems based on use of preference hierarchies. The purpose of that research was to create a proof-of-concept illustrating applicability of the approach. As a result, we created a formal description of a model describing competition between two rival swarms that employs the approach. We implemented the model in the form of a program, and obtained results indicating that the approach provides sustainable desirable outputs across multiple runs of the model.


2019 ◽  
Vol 10 (2) ◽  
pp. 1-20
Author(s):  
Toufik Marir ◽  
Abd El Heq Silem ◽  
Farid Mokhati ◽  
Abdelouahed Gherbi ◽  
Ahmed Bali

Normative multi-agent systems are multi-agent systems where agents are governed by norms. This recent research domain is now in full expansion. Despite the progress made in this area, various challenges remain the subject of research studies. In particular, there is a need for innovative solutions to support the implementation of this kind of multi-agent systems in order to improve the development process and consequently to simplify the developers' task. In the literature, most proposed works in this area are either closely related to specific problems or require complicated theoretical frameworks. In this article, a new framework baptized NorJADE is proposed to support the implementation of normative multi-agent systems. The proposed framework is open source, simple, modular and extensible. It is based on the popular open source JADE platform and uses the two well-known software technologies: ontology and aspect-oriented programming. The framework and the associated tool are illustrated using a concrete case study.


1999 ◽  
Vol 11 ◽  
pp. 301-333 ◽  
Author(s):  
F. Ygge ◽  
H. Akkermans

Multi-Agent Systems (MAS) promise to offer solutions to problems where established, older paradigms fall short. In order to validate such claims that are repeatedly made in software agent publications, empirical in-depth studies of advantages and weaknesses of multi-agent solutions versus conventional ones in practical applications are needed. Climate control in large buildings is one application area where multi-agent systems, and market-oriented programming in particular, have been reported to be very successful, although central control solutions are still the standard practice. We have therefore constructed and implemented a variety of market designs for this problem, as well as different standard control engineering solutions. This article gives a detailed analysis and comparison, so as to learn about differences between standard versus agent approaches, and yielding new insights about benefits and limitations of computational markets. An important outcome is that ``local information plus market communication produces global control''.


Author(s):  
María del Carmen Fernández Martínez ◽  
Alberto Fernández

Artificial Intelligence (AI) domain-specific applications may have different ethical and legal implications. One of the current questions of AI is the challenges behind the analysis of job video-interviews. There are pros and cons to using AI in recruitment processes, and potential consequences for candidates, companies and states. Furthermore, the deficit of regulation of these systems reinforces the need for external and neutral auditing of the types of analysis made in interviews. We, therefore, propose a Multi-agent system architecture for neutral auditing to guarantee an inclusive and accurate AI and to reduce the potential discrimination in the job market.


2020 ◽  
Vol 10 (15) ◽  
pp. 5329
Author(s):  
Stefano Mariani ◽  
Andrea Omicini

Multi-agent systems (MAS) are built around the central notions of agents, interaction, and environment. Agents are autonomous computational entities able to pro-actively pursue goals, and re-actively adapt to environment change. In doing so, they leverage on their social and situated capabilities: interacting with peers, and perceiving/acting on the environment. The relevance of MAS is steadily growing as they are extensively and increasingly used to model, simulate, and build heterogeneous systems across many different application scenarios and business domains, ranging from logistics to social sciences, from robotics to supply chain, and more. The reason behind such a widespread and diverse adoption lies in MAS great expressive power in modeling and actually supporting operational execution of a variety of systems demanding decentralized computations, reasoning skills, and adaptiveness to change, which are a perfect fit for MAS central notions introduced above. This special issue gathers 11 contributions sampling the many diverse advancements that are currently ongoing in the MAS field.


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