By means of introducing multi-auctioneer model, resources in the computational economic grid can be managed and allocated like in the auction. We research and put forward the corresponding solve schemes of three key i...
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ISBN:
(纸本)9780889866386
By means of introducing multi-auctioneer model, resources in the computational economic grid can be managed and allocated like in the auction. We research and put forward the corresponding solve schemes of three key issues of auctioneer system: preventing auctioneer from cheating, selection of auctioneer, setting of trading prices, and use computational grid modeling and simulation tools GridSim to simulate computational grid environment in the experiment which uses multiauctioneer system to manage and schedule, then we analyze the results of experiment in different conditions, and validate the feasibility of a multi-auctioneer system in computational grid.
The hardware design of the DSP-based network camera is described in this paper which includes the implementation of CCD camera, DSP, Flash, SDRAM, CPLD, and Ethernet. The program of JPEG2000has been tested on the desi...
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Most existing text classification work assumes that training data are completely labeled. In real life, some information retrieval problems can only be described as learning a binary classifier from a set of incomplet...
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In this paper an intrusion detection method based on Dynamic Growing Neural Network (DGNN) for wireless networking is presented. DGNN is based on the Hebbian learning rule and adds new neurons under certain conditions...
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Modularity and rigor are two key elements for multi-agent technology. Hong Zhu's multi-agent system (MAS) development method provides proper language facilities supporting modularity. To enhance this method with r...
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Modularity and rigor are two key elements for multi-agent technology. Hong Zhu's multi-agent system (MAS) development method provides proper language facilities supporting modularity. To enhance this method with rigor advocates a DL method to map the specification of MAS into a DL TBox. Thus, we can use the existing DL reasoners and systems to verify and validate some system's properties.
Coordination is of great significance to multi-agent systems, and in recent years, there has been much fruitful achievement in this area, such as refinement of dependencies under some hypothesis, the dynamic selection...
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ISBN:
(纸本)9781932415988
Coordination is of great significance to multi-agent systems, and in recent years, there has been much fruitful achievement in this area, such as refinement of dependencies under some hypothesis, the dynamic selection of coordination mechanisms, new coordination models using swarm intelligence, new methods using varied techniques like case based reasoning, reinforcement learning, distributed logic programming, game theory, etc.. In this paper, we survey these achievement as a general study of coordination, including, the nature of coordination, coordination mechanisms, coordination approaches, relationship among coordination mechanisms and approaches, coordination methodologies, conversational aspects of coordination and software architectures. And along with this survey, we give our view of future research direction of coordination.
In Containing Order Rough Set Methodology (CORS), ordered attribute 'criterion' is introduced. Criterion is related semantically with decision attributes, which results in producing more rational and significa...
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Coordination models can be classified into several classes, such as data-driven vs. control-driven coordination models, dependent vs. emergent coordination models, and hybrid coordination models. All these classificat...
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ISBN:
(纸本)9781932415988
Coordination models can be classified into several classes, such as data-driven vs. control-driven coordination models, dependent vs. emergent coordination models, and hybrid coordination models. All these classifications are based upon implementation details. However, interaction is the kernel aspect of coordination, and coordination is the outcome of interactions between agents, so here, we give another kind of taxonomy based on interaction types, which are coordination models based on direct interactions and indirect interactions. Using this taxonomy, all coordination models are classified into two classes with no intersection, in addition, coordination models with indirect interactions and emergent behaviors are the direction of future work.
We propose an algorithm for learning hierarchical user interest models according to the Web pages users have browsed. In this algorithm, the interests of a user are represented into a tree which is called a user inter...
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We propose an algorithm for learning hierarchical user interest models according to the Web pages users have browsed. In this algorithm, the interests of a user are represented into a tree which is called a user interest tree, the content and the structure of which can change simultaneously to adapt to the changes in a user＇s interests. This expression represents a user＇s specific and general interests as a continuurn. In some sense, specific interests correspond to shortterm interests, while general interests correspond to longterm interests. So this representation more really reflects the users＇ interests. The algorithm can automatically model a us er＇s multiple interest domains, dynamically generate the in terest models and prune a user interest tree when the number of the nodes in it exceeds given value. Finally, we show the experiment results in a Chinese Web Site.
Order-k Markov model can be used in many fields such as natural language understanding, coding, mobile path prediction and so on to make prediction and then control. But the model has to face the problem of state spac...
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Order-k Markov model can be used in many fields such as natural language understanding, coding, mobile path prediction and so on to make prediction and then control. But the model has to face the problem of state space expansion. Taking the mobile path prediction as the research background, the paper firstly proposes a step-k Markov model and validates its feasibility. Secondly, a hybrid Markov predictor model is put forward based on the step-k Markov model. The complexity of the hybrid Markov model is O(N) while the order-k Markov model is O(N 2 ). And the memory demand of the hybrid Markov model is O(N 2 ) while order-k Markov model is O(N 3 ). Finally, it is proved that the hybrid Markov predictor can get close performance with order-k Markov predictor at much lower expense by conditional entropy analysis and user mobility data analysis. Also it can alleviate the zero probability problem in order-k Markov model to some extent. The hybrid Markov predictor is more practical than order-k Markov predictor under WLAN
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