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The thesis proposes a flexible methodology using nondeterministic autonomous agents with communication, high-level knowledge representation, and search-space exploration supported by pruning and focus mechanisms.",{"@graph":14,"@context":72},[15,34,55],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/agent-based-engineering-drawing-analysis-february-4-2002/662744/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/agent-based-engineering-drawing-analysis-february-4-2002/662744.png","ImageObject",300,407,{"name":42,"@type":43},"jayni","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-29","2026-10-28",true,{"@type":52,"interactionType":53,"userInteractionCount":22},"InteractionCounter",{"@type":54},"ViewAction",{"@type":56,"mainEntity":57},"FAQPage",[58,64,68],{"name":59,"@type":60,"acceptedAnswer":61},"Why is semantic interpretation of engineering drawings difficult?","Question",{"text":62,"@type":63},"The document describes it as a very difficult problem, noting that reviewers point out a lack of work connecting high-level document/drawing models to lower-level analysis stages.","Answer",{"name":65,"@type":60,"acceptedAnswer":66},"What limitations affect prior automatic systems such as CELESSTIN?",{"text":67,"@type":63},"It states that these systems are linear, typically flat rule-based with many rules, and that the interpretive models exist only inside threshold and hand-coded rule logic.",{"name":69,"@type":60,"acceptedAnswer":70},"What is the core idea of the proposed approach?",{"text":71,"@type":63},"The thesis argues that nondeterministic autonomous agents can address prior shortcomings by enabling independent, asynchronous exploration of the solution space, supported by pruning and focus mechanisms.","https://schema.org",{"og:url":32,"og:type":74,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":76,"canonical":32},"index,follow",{"doc_id":78,"site_id":7},662744,1793222215,{"code":4,"msg":81,"data":82},"success",[83,87,91,95,100,105,110,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":84,"show_sort_weight":85,"slug":86},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":88,"show_sort_weight":89,"slug":90},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":92,"show_sort_weight":93,"slug":94},"Exam",70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":112,"slug":113},8,30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":96,"slug":129},19,"General","general",{"code":4,"msg":81,"data":131},{"doc_id":78,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":111,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":22,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":101,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":79,"read_time":143},3985747859343,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Agent-Based Engineering Drawing Analysis  \nThomas C. Henderson and Lavanya Swaminathan School of Computing  \nUniversity of Utah  \n4 February 2002  \nUUCS-02-008  \nAbstract  \nInterpretation of paper drawings has received a good deal of attention over the last decade. Related areas such as direct interpretation of human drawings (HCI), search and indexing of graphics databases, and knowledge representation in the domain of graphics and drawing understanding have also seen advances.. One of the most interesting applications in this domain is the analysis of semantics in engineering drawings.  \nAlthough several sophisticated automatic systems have been developed, for example, the CELESSTIN system in France, there are still significant problems in their application:  \n(1) they are linear and do not allow backtracking solutions,(2) they are typically flat rulebased systems with many rules, and (3) the knowledge models are embedded directly in the rules and are unavailable in a higher-level form. We still need a more automatic, selfcontained, less complex and robust system involving minimal human intervention. The use of autonomous agents in the field of image analysis is just starting.  \nOur thesis is that a set of nondeterministic agents provides the necessary methodology to address the shortcomings of previous systems. We explore the organization, communication and high-level knowledge representation of a set of agents designed to perform engineering drawing analysis. This permits the exploration of interesting parts of the search space, especially when combined with good pruning and focus mechanisms.  \n1 Overview  \nThe semantic interpretation of industrial drawings is a very difficult problem. Tombre summarizes the state of the field for CAD drawings [5] and as a document image analysis problem [6] . An earlier overview by Haralick [3] gives insight into the scale of the technical drawing problem (e.g., about 250 million drawings are generated annually), as well as a discussion of performance measurement. A major problem pointed out by these reviewers is that there is a dearth of work relating high-level models of documents, drawings or graphics to the various levels of analysis.  \n1.1 Technical Drawing Analysis  \nThe goal of technical drawing analysis is to interpret the contents of an image. Applications are as diverse as: (1) CAD drawings (2D to 3D),(2) sketch interpretation (HCI),(3) indexing and searching (e.g., technical DB’s), and (4) technical document analysis. Figure 1 shows part of a scanned technical drawing; the standard paradigm for technical drawing analysis is to threshold, segment, vectorize, interpret and reconstruct 3D.  \nFigure 1: Part of a Scanned Technical Drawing  \nSeveral systems have been developed along these lines, although none works well in an automated fashion. Various problems arise; e.g., when text touches graphics or when there is noise in the scanned image. One notable system is CELESSTIN [1]; however, as pointed out by Haralick, CELESSTIN suffers from the fact that it is based on a hierarchical rule system and has many rules; furthermore, whatever interpretive model the rules instantiate exists only in the thresholds and logic of the hand-coded rules.  \n1.2 Agent Architecture for Analysis  \nAgents are independent software processes with the following properties: (1) autonomous (react to environment though),(2) have state (beliefs, commitments, etc.),(3) persistent (process never terminates),(4) can communicate (send and receive messages related to effort), and (5) perform some action (have abilities to analyze and create data) . (See [4].) An agent  \narchitecture is a software architecture for decision making with intelligent (flexible) processes embedded within it. The agents may be proactive or reactive, and should cooperate and communicate to achieve a goal.  \nWe propose the use of nondeterministic agent systems (NDAS) to achieve a more flexible system for technical drawing analysis. They are called ","cbCaiqpftSO76ttx","https://ap.wps.com/l/cbCaiqpftSO76ttx","pdf",41364,"English","# Abstract\n# Overview\n## Technical Drawing Analysis\n## Agent Architecture for Analysis\n# Nondeterministic Agent Systems","[{\"question\":\"Why is semantic interpretation of engineering drawings difficult?\",\"answer\":\"The document describes it as a very difficult problem, noting that reviewers point out a lack of work connecting high-level document/drawing models to lower-level analysis stages.\"},{\"question\":\"What limitations affect prior automatic systems such as CELESSTIN?\",\"answer\":\"It states that these systems are linear, typically flat rule-based with many rules, and that the interpretive models exist only inside threshold and hand-coded rule logic.\"},{\"question\":\"What is the core idea of the proposed approach?\",\"answer\":\"The thesis argues that nondeterministic autonomous agents can address prior shortcomings by enabling independent, asynchronous exploration of the solution space, supported by pruning and focus mechanisms.\"}]","Agent-Based Engineering Drawing Analysis - February 4, 2002 | PDF",15]