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106
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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Cited by 122 (0 self)
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instrumental tool of management of new forms of life, including the building of on-line communities of support and collective learning. I see, however, a much stronger connection between networks and relationships of experience through the cultural transformations induced by communication networks
A Reinforcement Learning Strategy for (formal) Concept and Keyword Weight Learning for Adaptive Information Retrieval
"... Abstract. This paper reports our experimental investigation into the use of a reinforcement learning strategy to learn weights of (formal) concepts and keywords to support Information Retrieval. This work is a part of our main research objective of using more elegant construct of a concept rather th ..."
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Abstract. This paper reports our experimental investigation into the use of a reinforcement learning strategy to learn weights of (formal) concepts and keywords to support Information Retrieval. This work is a part of our main research objective of using more elegant construct of a concept rather
An Adaptive Approach for Reactive Actor Design
, 1997
"... To address the complex and dynamic conditions of a virtual environment, computer animation researchers are applying methods similar to the ones used in artificial life to create reactive actors. A reactive actor is a control entity whose behavior is based on the sensory information it receives from ..."
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Cited by 1 (1 self)
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no programming, can be used for a variety of tasks, and the control algorithms adapt during run-time. Collective Learning Systems (CLS) theory is integrated with a hierarchical controller to create control modules that quickly converge on optimal navigational strategies. Five different worlds are created
Second IEEE International Conference on Digital Games and Intelligent Toys Enhanced Based Education Learning Adaptive Educational Games: Providing Non-invasive Personalised Learning Experiences
"... Educational games have the potential to provide intrinsically motivating learning experiences that immerse and engage the learner. However, the much heralded benefits of educational games seldom consider the one-size-fits-all approach to education they typically embody. The benefit provided by adapt ..."
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personalised learning experience. This is achieved using an innovative, generic and reusable architecture, without mitigating the motivational features of gaming. An implementation of this approach in the form of the ALIGN (Adaptive Learning In Games through Noninvasion) system is detailed and the results
Social Cognitive Maps, Swarm Collective Perception and Distributed Search on Dynamic Landscapes
- ADVANCING ARTIFICIAL INTELLIGENCE THROUGH BIOLOGICAL PROCESS APPLICATIONS
, 2005
"... Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) entities interacting locally with their environment cause coherent functional global patterns to emerge. SI provides a basis with which it is possible to explore collective (or distributed) prob ..."
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Cited by 10 (4 self)
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we suggest and stress the role played not only by the environmental media as a driving force for societal learning, as well as by positive and negative feedbacks produced by the many interactions among agents. Finally, presenting a simple model based on the above features, we will address
GenNext: A Consolidated Domain Adaptable NLG System
"... We introduce GenNext, an NLG system designed specifically to adapt quickly and easily to different domains. Given a domain corpus of historical texts, GenNext allows the user to generate a template bank organized by semantic concept via derived discourse representation structures in conjunction with ..."
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Cited by 1 (0 self)
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with general and domain-specific entity tags. Based on various features collected from the training corpus, the system statistically learns template representations and document structure and produces well–formed texts (as evaluated by crowdsourced and expert evaluations). In addition to domain adaptation, Gen
DRAFT for chapter on NN Adaptive Critics in Karayiannis book DESIGNING (APPROXIMATE) OPTIMAL CONTROLLERS via DHP ADAPTIVE CRITICS & NEURAL NETWORKS
"... BACKGROUND The objective of this chapter is to provide the reader some guidance in applying the Dual Heuristic Programming (DHP) method in the context of designing neural-network controllers. DHP is a member of the class of Critic methods, which in turn is a member of the class of Reinforcement Lea ..."
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of DHP, and present worked-out examples. Learning Algorithms A key distinguishing feature of the computational paradigm known as neural networks is its attribute of attaining knowledge via interaction with its environment (vs. having knowledge programmed in). A significant area of research in the neural
Dynamically Adaptive Data Clustering Using Intelligent Swarm-like Agents
"... Abstract ⎯ Inspired by the self-organized behaviour of bird flocks, a new dynamic clustering approach based on Particle Swarm Optimization is proposed. This paper introduces a novel clustering method, the PSDC, a new Particle Swarm-like agents approach for Dynamically Adaptive data clustering. Unli ..."
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Abstract ⎯ Inspired by the self-organized behaviour of bird flocks, a new dynamic clustering approach based on Particle Swarm Optimization is proposed. This paper introduces a novel clustering method, the PSDC, a new Particle Swarm-like agents approach for Dynamically Adaptive data clustering
Genetic Encoding of Agent Behavioral Strategy
"... The general framework tackled in this paper is the automatic generation of intelligent collective behaviors using genetic programming and reinforcement learning. We define a behavior-based system relying on automatic design process using artificial evolution to synthesize high level behaviors for au ..."
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Cited by 1 (0 self)
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The general framework tackled in this paper is the automatic generation of intelligent collective behaviors using genetic programming and reinforcement learning. We define a behavior-based system relying on automatic design process using artificial evolution to synthesize high level behaviors
An Ant-based approach to Power-Efficient Algorithm for Wireless Sensor Networks
"... Abstract—We present an adaptive approach for improving the performance in randomly distributed Wireless Sensor Networks (WSNs). The goal is to find the optimal routing not only to maximize the lifetime of the network but also to provide real-time data transmission services. Considering a wireless se ..."
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of the tradeoff of energy and delay in wireless network systems, we propose the Reinforcement Learning (RL) algorithm to train our model. The simulation results show that our method boasts undoubtedly a number of attractive features, including adaptation, robustness and stability. Index Terms — ACO, Pheromones
Results 1 - 10
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106
