Titlebook: Innovations in Hybrid Intelligent Systems; Emilio Corchado,Juan M. Corchado,Ajith Abraham Book 2007 Springer-Verlag Berlin Heidelberg 2007

缩影

Using Semantic Causality Graphs to Validate MAS Modelsd and experimented. However, there has been few effort invested in debugging and validation techniques for MAS compared to modelling and implementation stages. This paper addresses the lack of tools to debug and validate a MAS. We propose a visual tool to debug and validate some multi-agent system s

Occipital-Lobe

A Multiagent Framework to Animate Socially Intelligent Agentse work presented in this paper focuses on the BDI agents and the social model integrated to provide socially acceptable decisions. The social model provides rationality, to control the global coordination of the group, and sociability, to simulate relations (e.g. friends) and reciprocity between mem

fodlder

Context Aware Hybrid Agents on Automated Dynamic Environments time information about the context using a set of technologies, such as radio frequency identification, wireless networks and wireless control devices, which can be implemented on a wide diversity of dynamic environments.

引起痛苦

Sensitive Stigmergic Agent Systems — A Hybrid Approach to Combinatorial Optimization by directly exchanging information and knowledge about the environment. To cope with complex combinatorial problems, agents of the proposed model are endowed with stigmergic behaviour. Agents are able to indirectly communicate by producing and being influenced by pheromone trails. Each stigmergic a

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Agent-Based Social Modeling and Simulation with Fuzzy Setsties, there is a need for the consideration of more complex agent models, which take into account uncertainty in human thinking. This characteristic can be addressed by using fuzzy logic in the specification of the attributes that describe agents representing individuals, the functions that model th

可互换

Stage-Dependent Fuzzy-valued Loss Function in Two-Stage Binary Classifier function in our problem is stage-dependent fuzzy-valued. This fuzzy loss function means that the loss depends on the stage at which misclassification is made. The model is firstly based on the notion of fuzzy random variable and secondly on the subjective ranking of fuzzy number defined by Campos a

Obverse

A Feature Selection Method Using a Fuzzy Mutual Information Measurelarger the amount of features the higher the complexity of the problem, and the larger the time expended in generating the outcome -the classifier or the model-. Feature selection has been proved as a good technique for eliminating features that do not add information of the system. There are severa

伟大

Interval Type-2 ANFISsing input-output data pairs during the forward pass of the training process, the interval type-1 non-singleton type-2 TSK FLS output is calculated and the consequent parameters are estimated by the recursive least-squares (RLS) method. In the backward pass, the error propagates backward, and the an

卧虎藏龙

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