Intelligent Agent-Based System for Digital Library Information Retrieval

A new information search model is reported and the design and implementation of a system based on intelligent agent is presented. The system is an assistant information retrieval system which helps users to search what they need. The system consists of four main components: interface agent, information retrieval agent, broker agent and learning agent. They collaborate to implement system functions. The agents apply learning mechanisms based on an improved ID3 algorithm.

Intelligent Agent Based Mapping of Software Requirement Specification to Design Model

Automatically mapping a requirement specification to design model in Software Engineering is an open complex problem. Existing methods use a complex manual process that use the knowledge from the requirement specification/modeling and the design, and try to find a good match between them. The key task done by designers is to convert a natural language based requirement specification (or corresponding UML based representation) into a predominantly computer language based design model—thus the process is very complex as there is a very large gap between our natural language and computer language. Moreover, this is not just a simple language conversion, but rather a complex knowledge conversion that can lead to meaningful design implementation. In this paper, we describe an automated method to map Requirement Model to Design Model and thus automate/partially automate the Structured Design (SD) process. We believe, this is the first logical step in mapping a more complex requirement specification to design model. We call it IRTDM (Intelligent Agent based requirement model to design model mapping). The main theme of IRTDM is to use some AI (Artificial Intelligence) based algorithms, semantic representation using Ontology or Predicate Logic, design structures using some well known design framework and Machine Learning algorithms for learning over time. Semantics help convert natural language based requirement specification (and associated UML representation) into high level design model followed by mapping to design structures. AI method can also be used to convert high level design structures into lower level design which then can be refined further by some manual and/or semi automated process. We emphasize that automation is one of the key ways to minimize the software cost, and is very important for all, especially, for the “Design for the Bottom 90% People” or BOP (Base of the Pyramid People).

A New Approach of Intelligent Data Retrieval Paradigm

What is a real time agent,how does it remedy ongoing daily frustrations for users,and how does it improve the retrieval performance in World Wide Web?These are the main question we focus on this manuscript.In many distributed information retrieval systems,information in agents should be ranked based on a combination of multiple criteria.Linear combination of ranks has been the dominant approach due to its simplicity and effectiveness.Such a combination scheme in distributed infrastructure requires that the ranks in resources or agents are comparable to each other before combined.The main challenge is transforming the raw rank values of different criteria appropriately to make them comparable before any combination.Different ways for ranking agents make this strategy difficult.In this research,we will demonstrate how to rank Web documents based on resource-provided information how to combine several resources raking schemas in one time.The proposed system was implemented specifically in data provided by agents to create a comparable combination for different attributes.The proposed approach was tested on the queries provided by Text Retrieval Conference(TREC).Experimental results showed that our approach is effective and robust compared with offline search platforms.

A function-based behavioral modeling method for air combat simulation

ion by proposing multiple levels of cascaded hierarchi-cal structures from the perspective of function,namely,the func-tional decision tree.This method is developed to represent behavioral modeling of air combat systems,and its metamodel,execution mechanism,and code generation can provide a sound basis for function-based behavioral modeling.As a proof of con-cept,an air combat simulation is developed to validate this method and the results show that the fighter Alpha built using the proposed framework provides better performance than that using default scripts.

Modeling of Agile Intelligent Manufacturing-oriented Production Scheduling System

Agile intelligent manufacturing is one of the new manufacturing paradigms that adapt to the fierce globalizing market competition and meet the survival needs of the enterprises, in which the management and control of the production system have surpassed the scope of individual enterprise and embodied some new features including complexity, dynamicity, distributivity, and compatibility. The agile intelligent manufacturing paradigm calls for a production scheduling system that can support the cooperation among various production sectors, the distribution of various resources to achieve rational organization, scheduling and management of production activities. This paper uses multi-agents technology to build an agile intelligent manufacturing-oriented production scheduling system. Using the hybrid modeling method, the resources and functions of production system are encapsulated, and the agent-based production system model is established. A production scheduling-oriented multi-agents architecture is constructed and a multi-agents reference model is given in this paper.

A Framework for Intelligent Decision Support System for Traffic Congestion Management System

Traffic congestion problem is one of the major problems that face many transportation decision makers for urban areas. The problem has many impacts on social, economical and development aspects of urban areas. Hence the solution to this problem is not straight forward. It requires a lot of effort, expertise, time and cost that sometime are not available. Most of the existing transportation planning software, specially the most advanced ones, requires personnel with lots practical transportation planning experience and with high level of education and training. In this paper we propose a comprehensive framework for an Intelligent Decision Support System (IDSS) for Traffic Congestion Management System that utilizes a state of the art transportation network equilibrium modeling and providing an easy to use GIS-based interaction environment. The developed IDSS reduces the dependability on the expertise and level of education of the transportation planners, transportation engineers, or any transportation decision makers.

An Integrated Information Retrieval Support System for Campus Network

This paper presents a new integrated information retrieval support system （IIRSS） which can help Web search engines retrieve cross-lingual information from hereto geneous resources stored in multi-databases in Intranet. The IIRSS, with a three-layer architecture, can cooperate with other application servers running in Intranet. By using intelligent agents to collect information and to create indexes on the-fly, using an access control strategy to confine a user to browsing those accessible documents for him/her through a single portal, and using a new cross-lingual translation tool to help the search engine retrieve documents, the new system provides controllable information access with different authorizations, personalized services, and real-time information retrieval.

基于Holon-Agent的无人机集群控制建模方法

无人机集群作战控制既包含任务级的协同规划,也包括平台级的状态控制,是一个极其复杂的多目标规划问题,但极具理论研究价值和实战运用意义。提出一种基于Holon-Agent的无人机集群控制建模方法,通过设计无人机、编队和集群多Holon-Agent的控制结构,并基于组件化建模思想构建Holon装备实体模型和多Agent行为控制模型,有效降低了无人机集群作战控制难度和仿真建模难度。其中,对多层Agent行为模型采用反应型和慎思型混合控制的方法实现,不仅充分发挥二者的优点,而且可按需构造不同智能化水平的无人机集群控制方式。通过仿真展示了基于Holon-Agent的大规模无人机集群抵近干扰作战控制过程,并对比了不同控制算法下的集群混合控制效果,验证了基于Holon-Agent的无人机集群混合控制的可靠性、鲁棒性、灵活性和智能性。

论人工智能体的模块化治理

人工智能体由控制端、感知端和行动端组成。在控制端,尽管大模型充当了智能体的“智能引擎”,但仍存在“机器幻觉”,其生成的内容面临时效性和可靠性风险。大模型的算法偏见也可能加剧智能体在决策中的偏见。在感知端,智能体的多模态感知能力加大了个人隐私侵权的风险,对个人信息保护制度构成挑战。多智能体系统间的交互可能导致不可预测的、复杂的和动态的系统性安全风险。在行动端,具身智能体的交互式学习模式可能导致全面的、侵入性的隐私风险。智能体的嵌入式和中介化部署方式将深度影响人类的主体性。其高度定制化的部署特性还会面临人工智能对齐的挑战。面向“代理即服务”的产业链特点,应建立从基础模型到基础代理的模块化治理框架。针对具体的高风险场景,应探索精准化治理机制。鉴于人工智能体的生态特性,应着力推进交互式治理。

基于大模型的态势认知智能体

针对战场态势信息众多、变化趋势认知困难的问题,提出基于大模型的态势认知智能体框架和智能态势认知推演方法。从认知概念出发,结合智能体的抽象性、具身性特点,明确了智能体构建的3个关键环节:学习环境、记忆方式和产生知识机制;设计了战场态势认知智能体架构,包括记忆部件、规划部件、执行部件、评估部件以及智能体训练要点。在长期记忆部件中,围绕战场复杂状态建模特点,分析大语言模型、多模态大模型、大序列模型的运用问题。

大模型时代的智适应学习研究:进展、实例与展望

智适应系统和生成式人工智能的有机结合正在重塑教育,这是经济全球化、技术变革的新诉求,也是人类文明进步发展的必然阶段。在回顾智适应学习的历史发展和技术优势的基础上,探讨全球视野下智适应学习的研究进展,明晰智适应学习的五个层级,依次为互联网教育、智能工具、智适应学习、高级智适应学习、完全智适应学习。在技术层面,重点介绍混合专家教育大模型的核心开发模块,讨论如何构建大模型与智适应知识图谱、推荐系统之间的相互赋能,有机结合,最终形成以大模型为核心的人工智能体。同时依托智适应学习应用的技术架构,呈现其应用的典型案例。在此基础上,围绕智适应学习的技术应用探索,梳理和归纳智适应学习的未来愿景:一是构建全民科学教育的标准;二是创造人工智能与人类智慧的同步进化;三是通过高质量人才培养服务教育强国建设。

基于主体基建模(ABM)的中国智能制造装备产业演化研究

智能制造装备面向的是具有复杂决策机制的制造企业,因此其产业演化规律相较于其他新兴产业有更强的特殊性。目前中国智能制造装备的市场份额较少、缺乏竞争优势,智能制造装备企业难以实现可持续发展。因此,在关键核心技术短期无法突破场景下,探讨政府高效推动智能制造装备市场结构变化、对智能制造装备产业演化的作用机制。通过问卷调查收集智能制造装备市场真实数据,在主体基建模方法(ABM)框架下构建国内外智能制造装备企业决策模型与制造企业决策模型,模拟智能制造装备产业演化过程,分析智能制造装备企业数量、市场需求数量和市场需求分布等市场结构核心参量变化特征,并进一步探究不同扶持政策对产业演化的作用效果。结果发现:在智能制造装备产业演化过程中,市场需求结构的变化是改变国产智能制造装备企业市场份额的关键要素,国产智能制造装备企业市场需求数量经历“增长—下跌—再增长”3个阶段,市场需求在空间上呈“分散—集聚—扩散”分布;在无外部力量干预的情境下,国产智能制造装备企业的市场份额存在显著的持续下降趋势,无论是面向市场需求数量还是面向产品质量提升的政策措施都有利于提升国产智能制造装备企业在产业中的市场状况;不同的政策策略对产业演化进程产生的效果不同,面向产品质量提升的政策对提升国产智能制造装备企业的市场份额效果更显著。

一种基于Agent的自适应软件过程模型

传统的软件过程模型大多是静态的、机械的、被动的,它们要求软件工程人员在描述软件过程时预期所有可能发生的情况,并且显式地定义这些问题的解决方案.当软件过程所处的环境发生变化时,软件过程无法自适应地对这些变更作出相应的调整.提出了一种基于Agent的自适应软件过程模型.在这种软件过程模型中,软件过程被描述为一组相互独立而对等的实体——软件过程Agent.这些软件过程Agent能够对软件过程环境的变化主动地、自治地作出反应,动态地确定和变更其行为以实现软件开发的目标.

面向智能Agent的元搜索系统的设计与实现

近年来，智能Agent技术的研究成为热点，有许多智能Agent都包括一个元搜索系统来间接使用互联网上的搜索引擎搜索需要的信息。该文设计和实现了一种面向智能Agent的智能元搜索系统。讨论了该系统的系统结构和工作原理及实现方法，并经实验验证，该系统具有高可靠性、适应性强、易扩充、智能化程度高等特点。

基于本体和多Agent的电能质量监测信息智能检索模型

提出一种基于本体和多Agent的电能质量监测信息智能检索模型。利用本体技术与多Agent技术相结合,建立一4层联盟式结构的智能检索模型。首先详细描述了该模型各层结构的功能,然后阐述了模型核心部分电能质量本体知识库的具体构建方法,最后通过实例分析对智能检索实现过程作了详细说明。该模型中各层结构采用Agent联盟方式,符合智能化检索的需求;借助本体知识库实现用户的检索请求,不仅能够提高检索效率,还能对基本检索信息进行深层次挖掘。实例分析表明了该模型能够快速高效地实现智能检索,具有一定的实用价值。

基于Agent的个性化信息服务系统的开发与设计

文章针对现有搜索引擎技术的不足,提出了一个个性化信息服务系统开发模型,并给出了该模型的工作原理,论述了该模型所采用的关键技术。

智能制造中多Agent系统的研究与应用

多 Agent系统理论是智能制造的理论基础。本文首先对 Agent模型的认识进行了概括与总结。然后针对智能制造系统的特点 ,提出了建立多 Agent系统模型的约束条件。并以 FMS为例 ,给出了建立多 Agent系统仿真模型的步骤。最后 ,提出了对于智能制造中多

基于多Agent的智能信息检索框架

提出了一个基于多Agent的智能信息检索(intelligent information retrieval based on multi-agent,IIR M-Agent)框架。介绍了多Agent群组的工作原理,提出了一个具有二层结构的IIRM-Agent框架,阐述了各个subagent的任务以及它们之间如何协作完成智能检索、自动通告、导航条和个人信息管理的功能。

Agent社会:一种个性化智能信息发现环境

Agent Society is a WWW-based information retrieval environment. It is composed of diverse information Agents. They can provide intelligent information discovery and retrieval services inedpen-dently to individual users,which also have the ability to communicate and collaborate with each other.