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[PDF] Top 20 An agent based approach to dynamic adaptive learning

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An agent based approach to dynamic adaptive learning

An agent based approach to dynamic adaptive learning

... multi-agent based learning system is functionally constructed by five agents, as shown in Figure 1: the Student Agent, Record Agent, Modelling Agent, Learning Object ... See full document

12

Agent-based dynamic optimization of local controller configurations in converter dominated electricity grids using decoder functions

Agent-based dynamic optimization of local controller configurations in converter dominated electricity grids using decoder functions

... machine learning surrogate models and decoder functions for agent-based dynamic optimization of local controller configurations particularly with regard to voltage ...machine learning ... See full document

7

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

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

... on adaptive course or content ...where adaptive-/ personalization rules and procedures are ...Every adaptive action is the result of an action request generated by a “knowledge exception” usually ... See full document

7

Interbank network and regulation policies: an analysis through agent based simulations with adaptive learning

Interbank network and regulation policies: an analysis through agent based simulations with adaptive learning

... new agent-based model to assess the impact of different regulation policies in the banking ...attraction learning scheme (Camerer and Ho, 1999), our model allows economic agents to learn and adapt ... See full document

46

An Adaptive Approach to Managing Knowledge Development in a Project-based Learning Environment

An Adaptive Approach to Managing Knowledge Development in a Project-based Learning Environment

... effective learning and decreasing an extra-heavy workload for an instructor (Stahl, ...is based on realization of KM concept (Sallis& Jones, 2002; Livingstone &Guile, 2012; Rooney, ... See full document

12

Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence

Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence

... In this paper we propose a multi-agent approach to the problem of recommending relevant and adequate study material to the learner in E-learning environment. It illustrates swarm intelligence of ... See full document

5

The Algebra of Multi Agent Dynamic Belief Revision

The Algebra of Multi Agent Dynamic Belief Revision

... this dynamic character is enhanced by the fact that we allow revision of actions, and not just of ”static” ...the agent to have theories about the current action, and these may also be revised by further ... See full document

18

A personalized adaptive e learning approach based on semantic web technology

A personalized adaptive e learning approach based on semantic web technology

... and learning content based on the learners’ ...and Adaptive Hypermedia (AH) ...various learning preferences and the characteristics of the ...user’s learning needs. Adaptive ... See full document

14

Towards an Adaptive e Learning Solution based on Ontologies and Competencies Approach

Towards an Adaptive e Learning Solution based on Ontologies and Competencies Approach

... In other words, the competencies’ referential have become inevitable in all levels of education and especially in the areas of professional certification. The latter represent a list of competencies organized and ... See full document

11

Image Segmentation for Uneven Lighting Images using Adaptive Thresholding and Dynamic Window based on Incremental Window Growing Approach

Image Segmentation for Uneven Lighting Images using Adaptive Thresholding and Dynamic Window based on Incremental Window Growing Approach

... for dynamic size window by using incremental window growing approach to solve the problem of uneven lighting ...is based on the concept of incremental window growing approach, that partition ... See full document

6

Adaptive Scaling for Sparse Detection in Information Extraction

Adaptive Scaling for Sparse Detection in Information Extraction

... network based detection models. In this paper, we propose adaptive scaling, an algorithm which can handle the pos- itive sparsity problem and directly opti- mize over F-measure via dynamic cost- ... See full document

11

Semantic Rule based Approach for Supporting Personalised Adaptive E Learning

Semantic Rule based Approach for Supporting Personalised Adaptive E Learning

... Ontologies support the separation of the domain knowledge from the operational knowl- edge (Noy & Mcguinness, 2001). Through this separation, in educational systems, the components of adaptivity can be defined using ... See full document

228

ID Model, describing methods, techniques,

ID Model, describing methods, techniques,

... on dynamic relationships and patterns among subjects (“complex agents”) in the learning process, rather than the static properties of isolated ...The approach is according to a didactical ... See full document

6

Learning a Transferable World Model by Reinforcement Agent in Deterministic Observable Grid-World Environments

Learning a Transferable World Model by Reinforcement Agent in Deterministic Observable Grid-World Environments

... Q-learning based agent selects its actions on the basis of the percept-action utility values (Q- ...the agent to pursue a single goal in the same ...reinforcement learning [6] [7] aim ... See full document

10

Neural Network based Minimization of BER in Multi-User Detection in SDMA

Neural Network based Minimization of BER in Multi-User Detection in SDMA

... Network based smart antennas are capable of improving the achievable wireless system capacity and quality by suppressing the effects of both inter-symbol interference (ISI) and co-channel interference ...Network ... See full document

7

Mobile Agent Communication in Highly Dynamic Networks: A Self-Adaptive Architecture inspired by the Honey Bee Colony

Mobile Agent Communication in Highly Dynamic Networks: A Self-Adaptive Architecture inspired by the Honey Bee Colony

... Each agent platform plays a contributory role in organizing the ...made based on a consensus of the ...interrupted. Based on the existing mobile agent system Ellipsis, the software prototype ... See full document

16

Blended Learning System Performance Evaluation

Blended Learning System Performance Evaluation

... Blended learning should be well integrated with IT support services, and the course development should be the concerted effort of the academic and IT ...and learning materials online, in the form of course ... See full document

7

Intelligent Adaptive Presentation and E testing System based on User Modeling and Course Sequencing in Virtual Classroom

Intelligent Adaptive Presentation and E testing System based on User Modeling and Course Sequencing in Virtual Classroom

... possible to use more types when required . They are verbal (ver.) , visual (vis) and analyst (ana) .They are represented in the set < ver ,vis , ana > . Sequences of LOs and other activities are organized in a tree ... See full document

9

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

... agents, agent properties, architectures and ...in agent based systems, agent communication and agent oriented ...classifier agent reasoning ...various agent components, ... See full document

261

An Agent Based Framework to Support Adaptive Hypermedia

An Agent Based Framework to Support Adaptive Hypermedia

... heterogeneous approach to hypermedia design meant that Microcosm was applicable to a wide variety of application ...links based on this user model. Microcosm was first used as an adaptive hypermedia ... See full document

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