Knowledge-directed Adaptation in Multi-level Agents

Most work on adaptive agents have a simple, single layerarchitecture. However, most agent architectures support three levels ofknowledge and control: a reflex level for reactive responses, a deliberatelevel for goal-driven behavior, and a reflective layer for deliberateplanning and problem decomposition. In this paper we explore agentsimplemented in Soar that behave and learn at the deliberate and reflectivelevels. These levels enhance not only behavior, but also adaptation. Theagents use a combination of analytic and empirical learning, drawing from avariety of sources of knowledge to adapt to their environment. We hypothesize that complete, adaptive agents must be able to learn across all three levels.     

Hitting the wall: errors in developing and code inspecting a `simple' spreadsheet model

Field audits and experiments have found substantial error rates when students and professionals have built spreadsheet models. In this study, 102 undergraduate MIS majors and 50 MBA students developed a model from a word problem that was relatively simple and free of domain knowledge. Even so, 35% of their 152 models were incorrect. There was no significant difference in errors per model between undergraduates and MBAs. Even among the 17 MBAs with 250 h or more of experience, 24% of the models contained errors. The cell error rate (CER)—the percentage of cells with errors—was 2.0%. When 23 undergraduates attempted to audit their models through code inspection, only three with incorrect spreadsheets (15%) produced clean spreadsheets when they finished the audit.     

快速探测的坐标测量机动态误差计算分析

快速探测是提高坐标测量机工作效率的有效手段，同时还必须要保证原有的测量精度。采用有限元分析方法（FEM）对快速探测过程中由惯性力和驱动力产生的动态误差进行了预测，分析结果是合理的，为后继的动态误差补偿工作打下了良好的基础。     

误差反向传播算法的数学推导及实现步骤

提供了人工神经网络的一种算法-误差反向传播算法的数学推导方法及上机实现步骤.     

组播技术在实际应用中的优势与不足

IP组播自身的技术特点决定了其在实际应用中拥有可扩展性强、便于容错以及带宽利用率高等多方面的优势。然而,IP组播也存在着一些不足,尤其是在信息传输可靠性方面的缺陷使其不能广泛的直接应用于实际。本文将详细讨论组播技术在实际应用中存在的优势与不足。     

基于残差灰色估计交通事故数量挖掘算法仿真

在交通事故优化预测的研究中,交通事故量是根据历史数据进行挖掘推断的,不同历史阶段的数据对挖掘模型的影响程度存在差异,一旦历史数据时间间隔过长,将造成基础决策数据跨度较大,形成数据冗余干扰.传统的挖掘算法模型一旦受到这种大跨度的时间数据属性的干扰,将造成挖掘数据时间属性存在较大偏差,数据冲突加剧,导致计算的失准.提出了一种残差灰色估计算法用于交通事故发生数量的挖掘.将历史数据进行有序处理,建立残差灰色估计数学模型.通过估计状态转移方法,对预测误差进行补偿.克服了传统算法的弊端.实验证明,上述算法能够避免由于历史数据时间过长造成的预测时间偏差的缺陷,保证了预测的准确率.     

基于邻居决策的协同过滤推荐算法

协同过滤技术应用于个性化推荐系统中,稀疏性问题和可扩展性问题成为亟需解决的问题。针对传统方法的不足,提出一种凭借邻居数做决策的方法,比较各个待测位置的用户邻居数和项目邻居数,由数量多的一方作预测,同时对预测值判定给出一种合理而有效的度量方法。实验结果表明,该方法能够提高推荐质量。     

空间DSP加载系统可靠性设计

在空间环境中,长时间运行的空间飞行器信息处理系统存储器容易发生单粒子翻转现象(SEU),而单粒子翻转现象是导致空间飞行器失效的主要原因之一。基于此,通过分析SEU现象对不同类型存储器的影响,阐述SEU现象对加载可靠性的影响。通过重新设计加载系统结构,并引入三模冗余、检纠错编码和定时刷新FLASH存储器的方法,降低系统加载时由于SEU而失败的概率,提高系统加载运行的可靠性。     

毛细管气相色谱测定室内空气中苯系物分析误差预评价

目的:评价毛细管气相色谱测定室内空气中苯系物的分析误差。方法:对空白溶液、0.1c标准溶液、空气样品、加标空气样品,采用精密度和偏性质量控制程序进行质控试验。结果:4种试样的批内批间变异分析(F相似文献   

Development and characterisation of error functions in design

As simulation is increasingly used in product development, there is a need to better characterise the errors inherent in simulation techniques by comparing such techniques with evidence from experiment, test and in-service. This is necessary to allow judgement of the adequacy of simulations in place of physical tests and to identify situations where further data collection and experimentation need to be expended. This paper discusses a framework for uncertainty characterisation based on the management of design knowledge leading to the development and characterisation of error functions. A classification is devised in the framework to identify the most appropriate method for the representation of error, including probability theory, interval analysis and Fuzzy set theory. The development is demonstrated with two case studies to justify rationale of the framework. Such formal knowledge management of design simulation processes can facilitate utilisation of cumulated design knowledge as companies migrate from testing to simulation-based design.