Results 11 to 20 of about 20,817,015 (290)

Learning in multi-agent systems [PDF]

open access: yesThe Knowledge Engineering Review, 2001
In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous, rational and flexible behaviour of entities such as software programs or robots, and their interaction and coordination in such diverse ...
Eduardo Alonso 0001   +4 more
openaire   +5 more sources

Distributed learning for multi-agent control of a dynamic system [PDF]

open access: yes, 2011
This thesis describes an investigation of self-organising, distributed control of dynamic, non-linear systems. The distribution is achieved through a multi-agent based approach. The self-organisation is addressed through reinforcement learning.
Pay, Mungo L
core   +6 more sources

Exploiting multi-agent system technology within an autonomous regional active network management system [PDF]

open access: yes, 2007
This paper describes the proposed application of multi-agent system (MAS) technology within AuRA-NMS, an autonomous regional network management system currently being developed in the UK through a partnership between several UK universities, distribution
Davidson, Euan M.   +1 more
core   +4 more sources

Multi agent system for negotiation in supply chain management [PDF]

open access: yes, 2008
Supply chain management (SCM) is an emerging field that has commanded attention and support from the industrial community. Supply chain (SC) is defined as the chain linking each entity of the manufacturing and supply process from raw materials through to
Saberi, S, Makatsoris, C
core   +6 more sources

A Multi Agent Intelligent Tutoring System Based on Bayesian Network [PDF]

open access: yesFanāvarī-i āmūzish, 2010
Environmental monitoring for extraction of learner’s features and accurately learner modeling is a time and cost consuming task. This paper proposes a flexible framework using agent architecture capabilities in learners’ monitoring and also in ...
N. Saberi, Gh.A. Montazer
doaj   +1 more source

Multi agent gathering waste system

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2016
Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers.
Álvaro LOZANO MURCIEGO   +4 more
doaj   +1 more source

Distributed network multi agent security system. Net-Mass

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2005
Network security is one of the weakest and most sensitive areas within an organization, because it requires different strategies to protect vulnerable points as well as the coordination and distribution of efforts in order to encompass all the possible ...
Daniel Horfan Álvarez   +2 more
doaj   +1 more source

On Multi Agent Systems Intellectics

open access: yesInformation Technology and Control, 2015
This paper intends to precisiate the well-known and widespread definitions of both smart and intelligent agent (SA; IA), as well as the smart and intelligent multi agent system (SS/II_MAS). The use of a unified and standardized agent and multi agent system description based on definitions of the general systems theory is delivered and proposed as well.
Baranauskas, Rimantas   +7 more
openaire   +1 more source

Fault-Tolerant Control of Second-Order Nonlinear Multi-Agent Formation Under Markov Switching Topology [PDF]

open access: yesJisuanji gongcheng, 2023
To solve the problems of communication signal loss and controller failure in the formation control of multi-agent systems, this paper proposes a fault-tolerant control protocol for second-order nonlinear multi-agent system leader-follower formation with ...
Lingcong OUYANG, Kaijun YANG, Zhixiong ZHANG
doaj   +1 more source

Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System

open access: yesIEEE Access, 2020
Extreme Learning Machine improved the iterative procedures of adjusting weights by randomly selecting hidden neurons besides analytically determining the output weights.
Chong Tak Yaw   +4 more
doaj   +1 more source

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