Appl. Intell.最新文献

Object interaction-based surveillance video synopsis 基于对象交互的监控视频摘要

Appl. Intell. Pub Date : 2023-01-01 DOI: 10.1007/s10489-022-03477-5

Yunzuo Zhang, Tingting Zheng

引用次数: 0

Multi-level clustering based on cluster order constructed with dynamic local density 基于动态局部密度构造的聚类顺序的多级聚类

Appl. Intell. Pub Date : 2023-01-01 DOI: 10.1007/s10489-022-03830-8

Jian-chun Lu, Junming Shao, Chunling Wu

引用次数: 0

Total generalized variational-liked network for image denoising 图像去噪的全广义类变分网络

Appl. Intell. Pub Date : 2023-01-01 DOI: 10.1007/s10489-022-03717-8

Xiaohua Zhang, Qiusheng Lian, Dan Zhang

引用次数: 0

Introductory AI educational resources on the web 介绍人工智能教育资源在网络上

Appl. Intell. Pub Date : 2001-12-01 DOI: 10.1145/504313.504319

R. Amant, R. Young

引用次数: 0

Is AI abstract and impractical? isn't the answer obvious? 人工智能是抽象和不切实际的吗?答案不是显而易见的吗?

Appl. Intell. Pub Date : 2001-12-01 DOI: 10.1145/504313.504321

Lisa C. Kaczmarczyk

引用次数: 0

Natural-language processing for computer-supported instruction 计算机支持教学的自然语言处理

Appl. Intell. Pub Date : 2001-12-01 DOI: 10.1145/504313.504323

Barbara Maria Di Eugenio

{"title":"Natural-language processing for computer-supported instruction","authors":"Barbara Maria Di Eugenio","doi":"10.1145/504313.504323","DOIUrl":"https://doi.org/10.1145/504313.504323","url":null,"abstract":"Introduction Many computer applications are concerned with interpreting or producing instructions and fostering education, for example, 1. Animated agents that execute instructions [Webber 1995], 2. Systems that automatically produce instructional text (see Excerpt A in Figure 1) [Paris 1995], 3. Intelligent tutoring systems (ITS) that help a student master a certain subject [Anderson 1995, Schulze 2000], and 4. Systems that facilitate student collaboration [Soller 2001]. Of these four examples, only example two is a true natural-language (NL) system: The animated agents in example one may be instructed via a menu; an ITS may provide feedback to the student via graphics. However, all the systems in examples one, three, and four potentially benefit from a natural-language interface. For instance, consider the learning gain, that is, how much a student learns in a certain setting (S). Generally, the learning gain is the difference between the student's score on the same test, before and after (S). It has been shown that the learning gain of students interacting with an ITS is halfway between the learning gain of students that were exposed to the material in the usual classroom setting (lowest) and students that interact with a human tutor (highest) [Anderson 1995]. The difference in learning gain between students interacting with an ITS and those interacting with a human tutor is attributed conversation between tutor and student Figure 1 (see page 24) presents two samples of NL instructions: The first is taken from an online help file, the second from a tutoring dialogue. These two examples illustrate some of the problems faced by systems that must support the interpretation and generation of instructions. Instructions in a technical manual, online help, or home repair manual such as those under (A) in teach how to perform a task mainly by describing the steps to be performed. They often include descriptions of what will happen as the result of a certain step (e.g., the window expands to show the Alarm options in step two) as a way to inform the user whether he or she is on the right track. The structure of the text closely reflects the structure of the task, as has long been known regarding task-oriented discourse [Grosz and Sidner 1986]. Tutorial dialogues such as (B) in Figure 1 present a completely different approach to instruction. (Note: This excerpt is taken from a dialogue in the BEESIM project corpus [Rosé, Di Eugenio, and Moore …","PeriodicalId":8272,"journal":{"name":"Appl. Intell.","volume":"5 1","pages":"22-32"},"PeriodicalIF":0.0,"publicationDate":"2001-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80075456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Backtracking: the demise of “!” 回溯:消亡的“!”

Appl. Intell. Pub Date : 2001-09-01 DOI: 10.1145/383824.383834

Chris Welty

引用次数: 0

Links: Common Lisp resources on the Web 链接:网络上常见的Lisp资源

Appl. Intell. Pub Date : 2001-09-01 DOI: 10.1145/383824.383828

R. Amant, R. Young

{"title":"Links: Common Lisp resources on the Web","authors":"R. Amant, R. Young","doi":"10.1145/383824.383828","DOIUrl":"https://doi.org/10.1145/383824.383828","url":null,"abstract":"A I has relied on L i s p almost since the inception of the field. Other languages (e.g. Java [1]) may provide larger libraries of reusable code, but unlike Lisp libraries, their functionality is not necessarily tailored to the needs of AI developers. Many of the building blocks of an AI system, large or small, can be retrieved from the Web, giving Lisp developers a significant boost in their ability to focus on problem specifics and to prototype solutions. If we need, for example, ✶ basic search algorithms [2], ✶ regular expression processing [3], ✶ theorem proving [4], ✶ constraint satisfaction or logic programming [5], ✶ machine learning algorithms [6], ✶ planning algorithms [7], ✶ cross-platform user interfaces [8], ✶ statistical analysis and instrumentation [9], or any number of other functionality-enhancing toolkits, they are all available over the Web. In this column we take a brief tour of Web resources devoted to Common Lisp. (Common Lisp is an official ANSI Standard language, as of 1994, the first object-oriented language specification to be so approved, and is now the most widely used general-purpose dialect of the Lisp family of languages .) Much of the information presented here can also be found on the Web site for the Association of Lisp Users (ALU) [10]. One good place for information is the ALU Web site [10], which is a rich compendium of information about the language: reference materials, programming tools, implementations, history, and more. The Usenet group comp.lang.lisp is a gathering of knowledgeable and helpful experts, some of whom were closely involved in the development of Common Lisp. The Frequently Asked Questions list for comp.lang.lisp [11] is somewhat outdated with respect to software offerings and implementations, but also gives useful general information. Perhaps surprisingly, Lisp programming is not difficult; for example, Logo is a dialect of Lisp that has been used to teach children to program [12]. Experienced programmers sometimes face more difficult hurdles in \" unlearning'' programming practices appropriate for other languages, to take advantage of the full power of Lisp. David Lamkins has written an online tutorial on programming in Common Lisp that should be accessible to programmers at all levels of experi-ence[13].","PeriodicalId":8272,"journal":{"name":"Appl. Intell.","volume":"23 1","pages":"21-23"},"PeriodicalIF":0.0,"publicationDate":"2001-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91275479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Curriculum descant: AI topics: organizing online knowledge sources about AI for the lay public 课程说明:人工智能主题:为公众组织有关人工智能的在线知识资源

Appl. Intell. Pub Date : 2001-09-01 DOI: 10.1145/383824.383830

Deepak Kumar

{"title":"Curriculum descant: AI topics: organizing online knowledge sources about AI for the lay public","authors":"Deepak Kumar","doi":"10.1145/383824.383830","DOIUrl":"https://doi.org/10.1145/383824.383830","url":null,"abstract":"be to go through our mailbag and look for general themes that could be addressed en masse by creating a series of FAQs. Although there is real value in FAQs, we recognized that they are based on the premise that the authors are able to anticipate the types of questions that will typically be asked with accuracy. Moreover, once written, they require continued updating to retain their currency. In addition , we came to feel that a site built around FAQs had the potential to convey a closed-end, pigeonhole attitude as opposed to the open-ended sense of excitement that we wanted to permeate the site. Another thing we realized during our initial benchmarking forays online was that not only were people already posting FAQs addressing various AI subjects, but people were making available an amazing array of material and resources. Given the free access to online material that covered the spectrum from classic articles of the 1950s to the latest interactive demos and virtual museums, it was decided that rather than reinvent the proverbial wheel, the AI Topics site would assume the role of an intermediary poised between these resources and the non-professional information seeker. Since this vast pool of information can be both overwhelming (just as it often is for professionals too) and susceptible to considerable redundancy and misin-formation, we believed that there would be real value in mediating this relationship in at least four ways: 1. identifying readable overview articles that 1 curriculum descant T he challenge: Design a Web site to respond to the lay public's undifferenti-ated interest in artificial intelligence, their need for relevant, accurate resources and their quest for \" the answer. \" Our solution: Build an online library with several doorways to basic, understandable information selected for a target audience and presented in an environment that celebrates the vibrancy of AI and encourages further exploration. The AI Topics Web site was born of necessity. The year was 1998 and the American Association for Artificial Intelligence (AAAI) needed an effective and efficient means of responding to the questions beginning to flow in from students, journalists and others outside of AI. 3 The tenor of these inquiries typically ran along the lines of: ✱ I'm doing a story on intelligent agents. Can you tell me what they are and who is working on them? Oh, by the way, my deadline is tomorrow. ✱ I have a …","PeriodicalId":8272,"journal":{"name":"Appl. Intell.","volume":"1 1","pages":"25-30"},"PeriodicalIF":0.0,"publicationDate":"2001-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82923860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A multi-agent system for sales order processing 销售订单处理的多代理系统

Appl. Intell. Pub Date : 2001-09-01 DOI: 10.1145/383824.383831

A. S. Mondal, A. Jain

{"title":"A multi-agent system for sales order processing","authors":"A. S. Mondal, A. Jain","doi":"10.1145/383824.383831","DOIUrl":"https://doi.org/10.1145/383824.383831","url":null,"abstract":"The increasingly distributed nature of sales order systems results in some nagging, pressing, and crucial issues. These can be solved by the use of agent-based architectures. Growth of the Internet also has opened up possibilities for improving production logistics. Embracing the Internet for order processing can lead to cost-effective, fast, and flexible operations. So the trend now is to treat each customer order separately and make the best use of the Internet to process the order. This is easier said than done. The behavior of elements in the supply chain can no longer be preplanned. Consequently, these elements should have the intelligence to interpret the order, the ability to perceive the resource environment, the autonomy to take rational decisions, and reactivity to change their behavior to adapt to the environment. This is where agent technology can help the manufacturing community. At Infosys work is going on to develop an agent-oriented framework for sales order processing. The framework, which we call Agent-Based Sales Order Processing System (AESOPS), allows logistics personnel to conceptualize , design, and build a production environment as a set of loosely coupled distributed units over a number of physical locations. These production units can interact with each other to process any order to completion in a flexible yet consistent and efficient manner. We will discuss a few salient features of the framework. Desirable Features In a typical sales order processing application a number of stages are involved. The process is initiated with a customer placing an order. The order is reviewed by the Logistics department (See Figure 1). If the product is in Introduction \" Customer is king. \" This is more evident now than ever before for all industries, manufacturing in particular. Traditionally, manufacturing companies have based their production facilities at a small number of locations. The demand of the product was forecast using sophisticated forecasting methods, and a production plan was prepared accordingly. As long as customers were willing to select from a predefined set of models manufactured by the company, things went smoothly. In today's global and more competitive markets, customers have started demanding customized products. This has led to a situation where erstwhile planning methods go haywire. inventory it is shipped; if not Logistics prepares a plan for raw material inventory and production units for different processing stages taking into account the capacity, resource and time constraints. Jobs are often grouped to reduce cost. …","PeriodicalId":8272,"journal":{"name":"Appl. Intell.","volume":"18 1","pages":"32-42"},"PeriodicalIF":0.0,"publicationDate":"2001-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75309266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2