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[PDF] Top 20 Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence

Has 10000 "Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence" found on our website. Below are the top 20 most common "Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence".

Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence

Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence

... the agent responsible for the content retrieval will check all the existing case –sets to derive the best known course set that should be recommended to the ...then agent will select randomly the best ... See full document

5

OPUS One - OLAT (An Artificial Intelligence - Multi Agent based Adaptive Learning Environment)

OPUS One - OLAT (An Artificial Intelligence - Multi Agent based Adaptive Learning Environment)

... modern learning theory increasingly emphasizes, the importance of collaboration, cooperative learning, communities of learners and social negotiation (Wiley, ...2003). Adaptive techniques can be used ... See full document

7

SWARM INTELLIGENCE: PROBLEM SOLVING TECHNIQUE IN TELECOMMUNICATION

SWARM INTELLIGENCE: PROBLEM SOLVING TECHNIQUE IN TELECOMMUNICATION

... social systems where individuals possess simple capabilities when compared to their collective behaviours which are much more ...Such systems span several levels of evolutionary complexity, from simple ... See full document

9

An Automatic Updating Process to Control The E-learning Courseware

An Automatic Updating Process to Control The E-learning Courseware

... education systems brought to the emergence of several problems, such as adaptation of learning path, and inconsistencies of educational materials compared to the learners abilities ...proposed ... See full document

6

Artificial Swarm Intelligence and Cooperative Robotic Systems

Artificial Swarm Intelligence and Cooperative Robotic Systems

... The learning model will be optimized to minimize surprise (negative log probability) of some sensory data, given a model of how this data were generated, which is called active inference ...the swarm ... See full document

8

A multi agent approach to adaptive learning using a structured ontology classification system

A multi agent approach to adaptive learning using a structured ontology classification system

... v The journey of a PhD is from Point A to B. Whereas you know point A, you can never guess the Point B nor how to get there. This is because the route to Point B is multifaceted: There is no absolute route. To have been ... See full document

261

Learning in multi agent systems

Learning in multi-agent systems

... artificial intelligence to speed up the performance of ...This learning is not merely a way of making a program run faster, but a way of producing qualitative changes in the performance of a problem-solving ... See full document

8

A Particle Swarm Optimization with Adaptive Multi-Swarm Strategy for Capacitated Vehicle Routing Problem

A Particle Swarm Optimization with Adaptive Multi-Swarm Strategy for Capacitated Vehicle Routing Problem

... proposed adaptive multi- swarm strategy can let the multi-swarm groups to compete with each other for producing a better search ... See full document

9

Embodied imitation enhanced reinforcement learning in multi agent systems

Embodied imitation enhanced reinforcement learning in multi agent systems

... As stated above, the robots use embodied imitation in which they utilise their on-board sensors to watch and copy each other’s actions. Copying errors that arise from embodiment provide variation in the imitation which ... See full document

16

Less Conservative Consensus of Multi-agent Systems with Generalized Lipschitz Nonlinear Dynamics

Less Conservative Consensus of Multi-agent Systems with Generalized Lipschitz Nonlinear Dynamics

... Remark 1: Equation (2) was a generic form Lipschitz condition. Any Lipschitz non-function f Hx ( ) can satwasfy equation (2) with W  I R ,   2 I which was first define in [18] includes some structural knowledge of ... See full document

7

Comparative Study of Agent Oriented Methodologies in e-Learning systems

Comparative Study of Agent Oriented Methodologies in e-Learning systems

... ABSTRACT: e-Learning is a new paradigm offered by developed and developing countries for delivering effective learning ...based e-Learning system is an challenging research area for ... See full document

7

A Particle Swarm Optimization with Adaptive Multi-Swarm Strategy for Capacitated Vehicle Routing Problem

A Particle Swarm Optimization with Adaptive Multi-Swarm Strategy for Capacitated Vehicle Routing Problem

... particle swarm optimization (PSO) is difficult to find an optimal solution of the CVRPPD due to its simple search ...with adaptive multi-swarm strategy (AMSPSO) is proposed to solve the CVRPPD ... See full document

5

Personalised E Learning Through Learning Style Aware Adaptive Systems

Personalised E Learning Through Learning Style Aware Adaptive Systems

... [r] ... See full document

93

The Algebra of Multi Agent Dynamic Belief Revision

The Algebra of Multi Agent Dynamic Belief Revision

... We refine our algebraic axiomatization in [8,9] of epistemic actions and epistemic update (notions defined in [5,6] using Kripke-style semantics), to incorporate a mechanism for dynamic belief revision in a ... See full document

18

Transfer Learning in Multi Agent Systems through Parallel Transfer

Transfer Learning in Multi Agent Systems through Parallel Transfer

... When learning how to ac- complish a task, knowledge from a related task is often used as a starting ...The agent that provides the experience to others is called the source task, those that receive ... See full document

9

Swarm Intelligence in the Optimization of Concurrent Service Systems

Swarm Intelligence in the Optimization of Concurrent Service Systems

... Business enterprises and companies often mistakenly “throw” capacity at a problem by adding manpower or equipment to reduce the waiting costs. However, too much capacity decreases the profit margin by increasing the ... See full document

5

Intelligence Agent Device  for E Learning

Intelligence Agent Device for E Learning

... for e-learning inside house or school which will contain all the necessary poem for children and student in order to ensure easy, accurate, learning to reach their desired output without any ... See full document

5

An Adaptive Security Model for Multi agent Systems and Application to a Clinical Trials Environment

An Adaptive Security Model for Multi agent Systems and Application to a Clinical Trials Environment

... In the implementation level, security policy rules can be externally linked to the existing AAM interactive role structure within which a new global condition element will be added to the scheme. The relevant rules from ... See full document

6

Social personalized e learning framework

Social personalized e learning framework

... in e-learning, we can mention the work of (Isaías et ...combining learning management systems and social ...personalized learning and Web ...integrated Learning Management System ... See full document

201

Application of E Learning and Artificial Intelligence in Education Systems in Indonesia

Application of E Learning and Artificial Intelligence in Education Systems in Indonesia

... role of the Internet a vital media for information and communication. The existence of the Internet is no longer just an option but an important part of life. Along with the changing times and needs, the challenges in ... See full document

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