[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-145672-105":59,"doc-detail-145672-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","dynamic-verification-of-trust-in-distributed-open-systems","Dynamic Verification of Trust in Distributed Open Systems","","Open and distributed multi-agent systems require agents to interact without prior experience, where deontic concepts cover permission, obligation, and trust. However, no practical method exists for testing deontic trust specifications against models of multi-agent interactions. This paper presents a modeling and model-checking approach, an implementation, and preliminary results on a realistic example, enabling verification beyond basic safety and liveness properties.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/dynamic-verification-of-trust-in-distributed-open-systems/145672/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/dynamic-verification-of-trust-in-distributed-open-systems/145672.png","ImageObject",300,407,{"name":92,"@type":93},"Sophia Brooks","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-08-26",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Why is trust a fundamental challenge in large-scale open distributed systems?","Question",{"text":113,"@type":114},"Trust remains vague and lacks a unified definition in multi-agent systems because trust can be addressed at multiple levels, from network security concerns to trusting entities to execute protocols and provide correct information.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does the paper propose verifying deontic trust specifications?",{"text":118,"@type":114},"It specifies global interaction models using LCC, models local deontic trust constraints with a policy language, and verifies trust properties through a lightweight dynamic model checker based on model checking techniques.",{"name":120,"@type":111,"acceptedAnswer":121},"What makes the auction example useful in illustrating trust verification?",{"text":122,"@type":114},"The auction scenario generates multiple concrete trust issues, such as deadlock-freeness and truth-telling incentives, and it shows how agents select trusted interaction protocols and trusted counterpart agents using these verifiable properties.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},145672,1787727018,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":144},962084925636,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Dynamic Verification of Trust in Distributed Open Systems  \nCategories:  \nMultiagent Systems: Distributed AI / Trust / Verification (Model Checking)  \nAbstract  \nIn open and distributed systems, agents must engage in interactions of which they have no previous experience. Deontic models are widely used to describe aspects of permission, obligation, and trust anticipated by such agents, but no practical mechanism has been developed for testing deontic trust specifications against models of multi-agent interactions. This paper describes a way of doing this;  \nan implementation of it via model checking; and some preliminary results on a realistic example.  \n1 Introduction  \nIn large-scale open distributed systems, trust remains a fundamental challenge. Despite much research, the notion of trust remains vague and there is no consensus on what exactly trust is in systems such as multiagent systems (MAS) . This is because trust may be addressed at different levels. At the low system level, trust is associated with network security, such as authentication (determining the identity of the user entity), access permissions (deciding who has access to what), content integrity (determining whether the content has been modified), content privacy (ensuring that only authorised entities can access the content), etc. At higher levels, the focus is on trusting entities—these may be human users, software agents, services, directories, etc.—to perform actions as requested, provide correct information, not to misuse information, execute protocols correctly, etc.  \nAvailable research has mainly focused on analysing, improving, and developing strategies that address trust issues at various system levels. In this paper we focus not on the strategies, but on the possibility of specifying and verifying such strategies. We therefore inherit the general definition of trust; trust is defined as the problem of who to interact with, when to interact with them, and how to interact with them. We then show how the specification and verification methods of [Osman et al., 2005] may be used to specify and verify trust models at various system levels. We use the Lightweight Coordination Calculus (LCC) of [Robertson, 2004] for modelling global interaction models. Local trust constraints, on the agents level, are modelled via a simple trust policy language introduced in Section 3.2 . These models may then be fed to a lightweight dynamic model checker  \n[Osman et al., 2005] for verifying interesting trust properties, which go beyond liveness and safety properties verified by traditional verification techniques (Section 4) . The result is a powerful, yet simple, verification mechanism. The verifier itself is lightweight, delegating the complexity of managing the search space to the underlying XSB tabled Prolog system [Sagonas et al., 1994] .  \nWe open with a motivating example in Section 2 . Section 3 provides an overview of our system model and the languages used for specification. The verification process is introduced in Section 4, before concluding with our results in Section 5 .  \n2 Motivating Example: an Auction System  \nSection 3 presents our 2-layered architectural approach for distributed open systems. Similar to web service architectures, the basic idea is that a global interaction model is used to specify the rules of the interaction, irrespective of the agents engaged in this interaction. Then each agent, based on its local constraints, tries to find the most suitable interaction protocol along with the most suitable group of agents to interact with. We call the agents’ local constraints the deontic constraints, since they specify the agents permissions, prohibitions, and obligations.  \nNow let us consider the case where an agent is interested in engaging in an auction scenario for either selling or buying aspecific item. Trust issues automatically arise on two levels. These may be summarised by the following two questions:  \n✦ Which interaction protocol should the agent","cbCaiqZWtAeHuWvq","https://ap.wps.com/l/cbCaiqZWtAeHuWvq","pdf",119552,"English","# Introduction\n## Trust challenges in open distributed systems\n## Verification approach overview\n# Motivating Example: an Auction System\n## Deontic constraints and protocol selection\n## Trust issues in auctions\n# Architecture and Specification (Section 3)\n# Verification Process (Section 4)\n# Results (Section 5)","[{\"question\":\"Why is trust a fundamental challenge in large-scale open distributed systems?\",\"answer\":\"Trust remains vague and lacks a unified definition in multi-agent systems because trust can be addressed at multiple levels, from network security concerns to trusting entities to execute protocols and provide correct information.\"},{\"question\":\"How does the paper propose verifying deontic trust specifications?\",\"answer\":\"It specifies global interaction models using LCC, models local deontic trust constraints with a policy language, and verifies trust properties through a lightweight dynamic model checker based on model checking techniques.\"},{\"question\":\"What makes the auction example useful in illustrating trust verification?\",\"answer\":\"The auction scenario generates multiple concrete trust issues, such as deadlock-freeness and truth-telling incentives, and it shows how agents select trusted interaction protocols and trusted counterpart agents using these verifiable properties.\"}]","Dynamic Verification of Trust in Distributed Open Systems | PDF",15]