This paper discusses the issue of pollution reduction in metropolises by means of intelligent negotiation in multi-agent systems. For situations of complete information, it gives a stochastic hill-climbing search algo...This paper discusses the issue of pollution reduction in metropolises by means of intelligent negotiation in multi-agent systems. For situations of complete information, it gives a stochastic hill-climbing search algorithm for computing the pollution-reduction solutions; For situations of incomplete information, it puts forward a genetic algorithm for computing the best solutions for every plants subjectively and proposes market-mechanism-based algorithm for computing the emission-redistribution solutions objectively. Key words intelligent negotiation - game theory - pollution reduction - genetic algorithm CLC number TP 391.1 Foundation item: Supported by the National 863 Project (2002AA134020-04)Biography: HAN Wei (1975-) male, Ph.D. candidate, research direction: MAS and Electronic Commercial.展开更多
The result merging for multiple Independent Resource Retrieval Systems (IRRSs), which is a key component in developing a meta-search engine, is a difficult problem that still not effectively solved. Most of the existi...The result merging for multiple Independent Resource Retrieval Systems (IRRSs), which is a key component in developing a meta-search engine, is a difficult problem that still not effectively solved. Most of the existing result merging methods, usually suffered a great influence from the usefulness weight of different IRRS results and overlap rate among them. In this paper, we proposed a scheme that being capable of coalescing and optimizing a group of existing multi-sources-retrieval merging results effectively by Discrete Particle Swarm Optimization (DPSO). The experimental results show that the DPSO, not only can overall outperform all the other result merging algorithms it employed, but also has better adaptability in application for unnecessarily taking into account different IRRS's usefulness weight and their overlap rate with respect to a concrete query. Compared to other result merging algorithms it employed, the DPSO's recognition precision can increase nearly 24.6%, while the precision standard deviation for different queries can decrease about 68.3%.展开更多
The Chinese intelligence input technology, its applications, and a customer service call center system are developed. This technology can be used both in standard English telephone number input keyboard and in Chinese...The Chinese intelligence input technology, its applications, and a customer service call center system are developed. This technology can be used both in standard English telephone number input keyboard and in Chinese telephone number input keyboard .And authors develop sophisticated technologies including "Pinyin" (the Chinese phonetic alphabet ) encoding technology of phonetic symbol code and formal symbol code of Chinese character structure, phrase encoding technology, input technology of whole sentence intelligence encoding and input technology of Chinese telephone number encoding.展开更多
This paper presents a coupled neural network, called output-threshold coupled neural network (OTCNN), which can mimic the autowaves in the present pulsed coupled neural networks (PCNNs), by the construction of mutual ...This paper presents a coupled neural network, called output-threshold coupled neural network (OTCNN), which can mimic the autowaves in the present pulsed coupled neural networks (PCNNs), by the construction of mutual coupling between neuron outputs and the threshold of a neuron. Based on its autowaves, this paper presents a method for finding the shortest path in shortest time with OTCNNs. The method presented here features much fewer neurons needed, simplicity of the structure of the neurons and the networks, and large scale of parallel computation. It is shown that OTCNN is very effective in finding the shortest paths from a single start node to multiple destination nodes for asymmetric weighted graph, with a number of iterations proportional only to the length of the shortest paths, but independent of the complexity of the graph and the total number of existing paths in the graph. Finally, examples for finding the shortest path are presented.展开更多
The dispensing mechanism of active code is the key technology in activenetwork. Conventional capsule and programmable switch approaches have their own shortcomings. DCCANmechanism presented in this paper overcomes the...The dispensing mechanism of active code is the key technology in activenetwork. Conventional capsule and programmable switch approaches have their own shortcomings. DCCANmechanism presented in this paper overcomes their shortcomings. In this paper, capsule andprogrammable switch, approaches are introduced and their shortcomings are analyzed. The principle ofDCCAN mechanism is described. The theoretical analyses in transmission bandwidth based on DCCANmechanism and capsule approach are described, and key factors which affect the transmissionbandwidth based on DCCAN mechanism are also discussed. At the same time, the theoretical analyses inlatency based on DCCAN mechanism and capsule approach are described. The using condition of DCCANmechanism is also discussed.展开更多
In an active network, users can insert customized active codes into activenodes, to execute. Thus it needs more resources than those required by conventional networks, andthese resources must be effectively monitored ...In an active network, users can insert customized active codes into activenodes, to execute. Thus it needs more resources than those required by conventional networks, andthese resources must be effectively monitored and managed. Management policies in existing OSs aretoo complicated to apply to simple active packets. In this paper, we present new resourcesmanagement policies that are mainly adoped to manage CPU, storage and transmission bandwidth.Namely, we use SPF algorithm to schedule and process active packets, and import an interval queuemethod to allocate transmission bandwidth, and use feedback mechanism to control congestion . At thesame time, we design some experiments on prototype systems with and without resources managementpolicies respectively. The experiments results show that management policies presented by us caneffectively manage resources in active nodes and can improve the performance of active networks.展开更多
文摘This paper discusses the issue of pollution reduction in metropolises by means of intelligent negotiation in multi-agent systems. For situations of complete information, it gives a stochastic hill-climbing search algorithm for computing the pollution-reduction solutions; For situations of incomplete information, it puts forward a genetic algorithm for computing the best solutions for every plants subjectively and proposes market-mechanism-based algorithm for computing the emission-redistribution solutions objectively. Key words intelligent negotiation - game theory - pollution reduction - genetic algorithm CLC number TP 391.1 Foundation item: Supported by the National 863 Project (2002AA134020-04)Biography: HAN Wei (1975-) male, Ph.D. candidate, research direction: MAS and Electronic Commercial.
基金Supported by the National Natural Science Foundation of China (No. 90818007)
文摘The result merging for multiple Independent Resource Retrieval Systems (IRRSs), which is a key component in developing a meta-search engine, is a difficult problem that still not effectively solved. Most of the existing result merging methods, usually suffered a great influence from the usefulness weight of different IRRS results and overlap rate among them. In this paper, we proposed a scheme that being capable of coalescing and optimizing a group of existing multi-sources-retrieval merging results effectively by Discrete Particle Swarm Optimization (DPSO). The experimental results show that the DPSO, not only can overall outperform all the other result merging algorithms it employed, but also has better adaptability in application for unnecessarily taking into account different IRRS's usefulness weight and their overlap rate with respect to a concrete query. Compared to other result merging algorithms it employed, the DPSO's recognition precision can increase nearly 24.6%, while the precision standard deviation for different queries can decrease about 68.3%.
文摘The Chinese intelligence input technology, its applications, and a customer service call center system are developed. This technology can be used both in standard English telephone number input keyboard and in Chinese telephone number input keyboard .And authors develop sophisticated technologies including "Pinyin" (the Chinese phonetic alphabet ) encoding technology of phonetic symbol code and formal symbol code of Chinese character structure, phrase encoding technology, input technology of whole sentence intelligence encoding and input technology of Chinese telephone number encoding.
文摘This paper presents a coupled neural network, called output-threshold coupled neural network (OTCNN), which can mimic the autowaves in the present pulsed coupled neural networks (PCNNs), by the construction of mutual coupling between neuron outputs and the threshold of a neuron. Based on its autowaves, this paper presents a method for finding the shortest path in shortest time with OTCNNs. The method presented here features much fewer neurons needed, simplicity of the structure of the neurons and the networks, and large scale of parallel computation. It is shown that OTCNN is very effective in finding the shortest paths from a single start node to multiple destination nodes for asymmetric weighted graph, with a number of iterations proportional only to the length of the shortest paths, but independent of the complexity of the graph and the total number of existing paths in the graph. Finally, examples for finding the shortest path are presented.
文摘The dispensing mechanism of active code is the key technology in activenetwork. Conventional capsule and programmable switch approaches have their own shortcomings. DCCANmechanism presented in this paper overcomes their shortcomings. In this paper, capsule andprogrammable switch, approaches are introduced and their shortcomings are analyzed. The principle ofDCCAN mechanism is described. The theoretical analyses in transmission bandwidth based on DCCANmechanism and capsule approach are described, and key factors which affect the transmissionbandwidth based on DCCAN mechanism are also discussed. At the same time, the theoretical analyses inlatency based on DCCAN mechanism and capsule approach are described. The using condition of DCCANmechanism is also discussed.
文摘In an active network, users can insert customized active codes into activenodes, to execute. Thus it needs more resources than those required by conventional networks, andthese resources must be effectively monitored and managed. Management policies in existing OSs aretoo complicated to apply to simple active packets. In this paper, we present new resourcesmanagement policies that are mainly adoped to manage CPU, storage and transmission bandwidth.Namely, we use SPF algorithm to schedule and process active packets, and import an interval queuemethod to allocate transmission bandwidth, and use feedback mechanism to control congestion . At thesame time, we design some experiments on prototype systems with and without resources managementpolicies respectively. The experiments results show that management policies presented by us caneffectively manage resources in active nodes and can improve the performance of active networks.
