Embedded Agents for Mobile Services

2009 ◽  
pp. 850-857
Author(s):  
John F. Bradley ◽  
Conor Muldoon ◽  
Gregory M.P. O’Hare ◽  
Michael J. O’Grady
Keyword(s):  
Mobile Computing ◽  
Ad Hoc ◽  
Significant Rise ◽  
Distributed Artificial Intelligence ◽  
Smart Devices ◽  
Multi Agent Systems ◽  
Computing Paradigm ◽  
Multi Agent ◽  
Ubiquitous And Pervasive Computing ◽  
Hoc Networks

A significant rise in the use of mobile computing technologies has been witnessed in recent years. Various interpretations of the mobile computing paradigm, for example, ubiquitous and pervasive computing (Weiser, 1991) and more recently, ambient intelligence (Aarts & Marzano, 2003)?have been the subject of much research. The vision of mobile computing is often held as one of “smart” devices operating seamlessly and dynamically, forming ad-hoc networks with other related devices, and presenting the user with a truly ubiquitous intelligent environment. This vision offers many similarities with the concept of distributed artificial intelligence where autonomous entities, known as agents, interact with one another forming ad-hoc alliances, and working both reactively and proactively to achieve individual and common objectives. This article will focus on the current state of the art in the deployment of multi-agent systems on mobile devices and smart phones. A number of platforms will be described, along with some practical issues concerning the deployment of agents in mobile applications.

Cooperative Multi-Agent Systems in Mobile AD HOC Networks

MILCOM 2006 ◽  
2006 ◽  
Author(s):  
Joseph Macker ◽  
William Chao ◽  
Myriam Abramson ◽  
Ian Downard
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Ad Hoc Networks ◽  
Ad Hoc ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Mobile Ad Hoc ◽  
Hoc Networks

Towards a Formal Validation of a Hybrid Multi-Agent Routing Protocol for Ad hoc network

2021 ◽  
Vol 17 (2) ◽  
pp. 0-0
Keyword(s):  
Routing Protocol ◽  
Formal Specification ◽  
Ad Hoc ◽  
Main Concern ◽  
New Approach ◽  
Formal Validation ◽  
Multi Agent ◽  
Hoc Networks ◽  
Inference Systems ◽  
Logical Rules

In our previous papers, a new Ant Routing Protocol for Ad-hoc Networks inspired from ant colony optimization was presented. We introduced a new approach which decreases both of nodes energy consumption and routing overhead within the network. The validation of our routing protocol was based on series of simulation. The results show that our new algorithm provides a significant improvement compared to other protocols. After the algorithm is defined and published, we have found important to validate formally each one of its components in order to avoid any conflict, lack or misbehaving situations. This process requires in a first step a formal specification. This is our main concern in this paper where we propose in a first part a formal specification using inference systems based on logical rules. A formal validation using these inference systems is proposed in a second step in order to prove the correctness, the soundness, the completeness and the optimality of the proposition.

Wireless Technologies for Mobile Computing

2011 ◽  
pp. 114-129
Author(s):  
Biju Issac ◽  
C. E. Tan
Keyword(s):  
Ad Hoc Networks ◽  
Mobile Computing ◽  
Ad Hoc ◽  
User Preferences ◽  
Radio Propagation ◽  
Wireless Technologies ◽  
Security Issues ◽  
802.11 Networks ◽  
Hoc Networks ◽  
The Way

Mobility and computing were two concepts that never met a decade or two ago. But with the advent of new wireless technologies using radio propagation, the impossible is now becoming possible. Though there are many challenges to be overcome in terms of improving the bandwidth and security as with a wired network, the developments are quite encouraging. It would definitely dictate the way we do transactions in future. This chapter briefly explores some popular wireless technologies that aid in mobile computing, like 802.11 networks, Bluetooth networks, and HomeRF networks. Under 802.11 networks, we investigate the details of both infrastructure and ad hoc networks and its operations. The reader is thus made aware of these technologies briefly along with their performance, throughput, and security issues, which finally concludes with user preferences of these technologies.

Building autonomic systems using collaborative reinforcement learning

2006 ◽  
Vol 21 (3) ◽  
pp. 231-238 ◽  
Author(s):  
JIM DOWLING ◽  
RAYMOND CUNNINGHAM ◽  
EOIN CURRAN ◽  
VINNY CAHILL
Keyword(s):  
Reinforcement Learning ◽  
Ad Hoc ◽  
Optimization Problems ◽  
System Optimization ◽  
Multi Agent Systems ◽  
Learning Agents ◽  
Coordination Model ◽  
Routing Performance ◽  
Multi Agent ◽  
Unpredictable Environment

This paper presents Collaborative Reinforcement Learning (CRL), a coordination model for online system optimization in decentralized multi-agent systems. In CRL system optimization problems are represented as a set of discrete optimization problems, each of whose solution cost is minimized by model-based reinforcement learning agents collaborating on their solution. CRL systems can be built to provide autonomic behaviours such as optimizing system performance in an unpredictable environment and adaptation to partial failures. We evaluate CRL using an ad hoc routing protocol that optimizes system routing performance in an unpredictable network environment.

scholarly journals Self-Adaptive Swarm System (SASS)

2021 ◽  
Author(s):  
Qin Yang
Keyword(s):  
Artificial Intelligence ◽  
Distributed Artificial Intelligence ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Collective Decisions ◽  
Fourth Level ◽  
Working Together ◽  
Multi Agent ◽  
Communication Planning ◽  
Self Adaptive

Distributed artificial intelligence (DAI) studies artificial intelligence entities working together to reason, plan, solve problems, organize behaviors and strategies, make collective decisions and learn. This Ph.D. research proposes a principled Multi-Agent Systems (MAS) cooperation framework -- Self-Adaptive Swarm System (SASS) -- to bridge the fourth level automation gap between perception, communication, planning, execution, decision-making, and learning.

scholarly journals A MULTI-AGENT SYSTEM FOR FOREST TRANSPORT ACTIVITY PLANNING

CERNE ◽  
2017 ◽  
Vol 23 (3) ◽  
pp. 329-337 ◽  
Author(s):  
Carlos Alberto Araújo Júnior ◽  
Helio Garcia Leite ◽  
Carlos Pedro Boechat Soares ◽  
Daniel Henrique Breda Binoti ◽  
Amaury Paulo de Souza ◽  
...  
Keyword(s):  
Optimal Transport ◽  
Intelligent System ◽  
Distributed Artificial Intelligence ◽  
Multi Agent Systems ◽  
Java Programming ◽  
Operation Process ◽  
Proposed Model ◽  
Multi Agent ◽  
The Subject ◽  
Transportation Routes

ABSTRACT This study aims to propose and implement a conceptual model of an intelligent system in a georeferenced environment to determine the design of forest transport fleets. For this, we used a multi-agent systems based tool, which is the subject of studies of distributed artificial intelligence. The proposed model considers the use of plantation mapping (stands) and forest roads, as well as information about the different vehicle transport capacities. The system was designed to adapt itself to changes that occur during the forest transport operation process, such as the modification of demanded volume or the inclusion of route restrictions used by the vehicles. For its development, we used the Java programming language associated with the LPSolve library for the optimization calculation, the JADE platform to develop agents, and the ArcGis Runtime to determine the optimal transport routes. Five agents were modelled: the transporter, controller, router, loader and unloader agents. The model is able to determine the amount of trucks among the different vehicles available that meet the demand and availability of routes, with a focus on minimizing the total costs of timber transport. The system can also rearrange itself after the transportation routes change during the process.

scholarly journals JADE Multi-agent Middleware Applied to Contribute to Certificate Management of Students

2015 ◽  
Vol 16 (1) ◽  
pp. 176
Author(s):  
Fatiha Aityacine ◽  
Badr Hssina ◽  
Belaid Bouikhalene
Keyword(s):  
Personal Data ◽  
Distributed Artificial Intelligence ◽  
Shared Environment ◽  
Multi Agent Systems ◽  
Administrative Services ◽  
Agent Systems ◽  
Development Framework ◽  
Ability To Act ◽  
Multi Agent ◽  
Agent Development

In this article, we present a multi-agent approach that aims to design, modeling and implementation of an application "smart school". Indeed Several institutions adopt the computerized management of education to meet the needs of students using multi-agent systems. They have the ability to act simultaneously in a shared environment. The purpose of this approach is to automate some administrative services of education, based on the theory of distributed artificial intelligence (DAI) and multi-agent systems (MAS). This multi-agent application integrates entities called agents that cooperate and communicate them to perform specific tasks. Our system is based on the middleware JADE (Java Agent DEvelopment Framework) used for the implementation and agents management. This model based on multi-agent systems is tested on the personal data of an experiment conducted with the students of Sultan Moulay Slimane University in Beni Mellal.

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