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
As a distributed process calculus with localities and mobility of computational entities, Seal calculus is playing an important role in expressing {1. features such as security and mobility of Internet programming dir...
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ISBN:
(纸本)9780387446394
As a distributed process calculus with localities and mobility of computational entities, Seal calculus is playing an important role in expressing {1. features such as security and mobility of Internet programming directly. However, little implementation technique proposed for the calculus, partly due to the complication of inobile computation, which fusions three important techniques: concurrency, distribution and mobility at the same time. The abstract machine PSN for a distributed implementation of the Seal calculus is presented. In PSN the logical structure of a seal system and its physical distribution are separated which induces a more simple and clear implementation. Moreover, an operational semantics description of the Seal calculus based on PSN is given.
A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in this paper. The neurons of SLNN are created and adapted as online learning proceeds. The learning rule of SLNN is based on Hebbian ...
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A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in this paper. The neurons of SLNN are created and adapted as online learning proceeds. The learning rule of SLNN is based on Hebbian learning and a kernel winner-take-all algorithm - KWTA. KWTA not only can let SLNN be able to learn from new data but also can prevent losing the knowledge which has been learned earlier. To obtain a concise fuzzy rule, a pruning algorithm is adopted in SLNN which doesn't disobey the basic design philosophy of fuzzy system. Simulations are performed on the primary benchmark: circle-in-the-square. Comparison with ARTMAP and BP neural network indicates that better performance is achieved
The diameter protocol is recommended by IETF as AAA (authentication, authorization and accounting) protocol criterion for the next generation network. Because the IPv6 protocol will be widely applied in the intending ...
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The diameter protocol is recommended by IETF as AAA (authentication, authorization and accounting) protocol criterion for the next generation network. Because the IPv6 protocol will be widely applied in the intending all-IP network, mobile IPv6 application based on diameter protocol will play more important role in authentication, authorization and accounting. In this paper, the implementation of mobile node's authentication and authorization is presented with PANA (protocol for carrying authentication for network access) protocol. It is based on diameter protocol for the application expansion of mobile IPv6, which provides the supports to the basic AAA process of mobile IPv6 nodes and dynamic home agent distribution in the visited network and the secret key distribution. Finally, the correctness of this application expansion is testified with developing the design of protocol based on opendiameter
In this paper a new technique for computing and ray tracing point based geometry is presented. It uses a novel point primitive that is called "Spherical Patch Point" (SPP) to approximate the vicinity of a su...
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In this paper a new technique for computing and ray tracing point based geometry is presented. It uses a novel point primitive that is called "Spherical Patch Point" (SPP) to approximate the vicinity of a surface point. Due to property of curvature, SPP can achieve similar visual quality compared with previous methods with much fewer primitives for the cost of a few additional bytes per point and thus makes a significant reduction in rendering time. During pre-process,important attributes are added to each SPP for the purpose of ray tracing. During rendering, an intersection algorithm different from previous ones has been demonstrated to get satisfied results. The proposed technique makes it possible to render high quality ray traced images with global illumination using SPPs. It offers a higher ray tracing speed in comparison with previous methods.
In this paper a new point-based rendering method for ray tracing is presented. An oriented spherical patch that passes a surface point is used to approximate the vicinity of that *** this paper the spherical patch tog...
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In this paper a new point-based rendering method for ray tracing is presented. An oriented spherical patch that passes a surface point is used to approximate the vicinity of that *** this paper the spherical patch together with the surface point is called "Spherical Patch Point" (SPP). Due to property of curvature, SPP can achieve similar visual quality compared with previous methods with much fewer points. This paper defines new point attributes for the purpose of efficiently locating the intersection between incoming ray and ***, an algorithm of intersecting a ray with point geometry is proposed. The algorithm can achieve a higher rendering speed in comparison with previous methods. The presented technique deals well with shadow, reflection and refraction.
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