缩影
发表于 2025-3-25 06:50:43
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
发表于 2025-3-25 09:31:03
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
发表于 2025-3-25 14:19:10
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
发表于 2025-3-25 15:48:33
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
开始没有
发表于 2025-3-25 22:42:38
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
发表于 2025-3-26 01:39:28
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
发表于 2025-3-26 06:22:37
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
发表于 2025-3-26 11:51:51
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
发表于 2025-3-26 16:18:31
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租约
发表于 2025-3-26 18:28:04
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