Product Design, Manufacturing & Innovation Resources

최신 출판물 – 에이전트형 AI 관련 특허

Agentic AI

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Agentic ai
Agentic ai revolutionizes product design by enabling autonomous, goal-oriented decision-making through iterative processes.

에이전트형 AI는 인간의 개입 없이 인지, 계획, 도구 사용 및 자체 수정 과정을 반복하여 여러 단계의 목표를 자율적으로 추구하는 AI 시스템을 의미합니다. 이는 단일 턴 방식의 즉각적인 응답 모델에서 벗어나 복잡한 목표를 하위 작업으로 분해하고, 외부 환경에 대한 행동을 실행하고, 결과를 평가하고, 그에 따라 계획을 수정하는 아키텍처로의 구조적 전환을 나타냅니다.

정통 에이전트 아키텍처는 대규모 언어 모델 추론 코어와 웹 브라우저, 코드 인터프리터, API 클라이언트, 파일 시스템, 데이터베이스 인터페이스 등의 도구 레지스트리, 그리고 단기 작업 컨텍스트, 과거 행동에 대한 에피소드 기록, 검색된 장기 지식을 아우르는 메모리 아키텍처를 결합하여 에이전트가 단일 컨텍스트 창을 넘어서는 확장된 상호 작용 범위에서 일관된 목표 추구를 유지할 수 있도록 합니다. 다중 에이전트 구성은 이러한 아키텍처를 더욱 확장하여 오케스트레이터가 조정하는 전문 에이전트에 하위 작업을 분산시키고 에이전트 간 상호 작용을 도입합니다. 의사소통 프로토콜, 결과 집계 및 충돌 해결은 추가적인 아키텍처 고려 사항입니다.

The publications and patents indexed below address planning algorithms, tool use architectures, memory systems, multi-agent coordination protocols, agent evaluation benchmarks, and safety constraint 방법론.

본 자료는 에이전트형 AI에 관한 전 세계 영어 논문 및 특허를 엄선하여 정리한 것으로, 다양한 온라인 과학 저널에 게재된 자료들을 포함합니다. 주요 주제는 에이전트형 AI, AI 에이전트, 자율 AI 에이전트, 다중 에이전트 시스템, AI 에이전트 오케스트레이션, 에이전트 계획 루프, ReAct 에이전트, 사고 연쇄 계획, 도구 사용 AI 에이전트, 함수 호출 AI, AI 에이전트 메모리, 장기 에이전트 메모리, 에피소드 에이전트 메모리, 에이전트 작업 메모리, AI 에이전트 작업 분해, 계층적 에이전트 계획, AI 에이전트 자체 수정, AI 에이전트 반성, AI 에이전트 평가, 에이전트 보상 설계, AI 에이전트 샌드박싱, 에이전트 안전 가드레일, 다중 에이전트 조정, 에이전트 통신 프로토콜, AI 에이전트 도구 레지스트리, 코드 실행 에이전트, 웹 브라우징 에이전트, 검색 증강 에이전트, 에이전트 벤치마크 평가, 인간 참여형 에이전트 등입니다.

Ai agent for core network

Patent published on the 2026-10-15 in WO under Ref WO2026213740 by NOKIA TECH OY [FI] (Gajic Borislava [de], Sun Shu Qiang [cn], Abdelkader Abdelrahman [de], Khatibi Sina [de], Schirilla Achill Andreas [de])

Abstract: Example embodiments of the present disclosure are directed to artificial intelligence (AI) agent for core network. A first network entity receives, from a second network entity or an apparatus, a request originated from the apparatus for an agentic service. The first, second network entities and the apparatus implement an AI agent. The first network entity determines a plan for the agentic service at least based on capability information of at least one device. The plan is associated with one or[...]


Our summary: An AI agent for core networks processes requests for agentic services. It determines a service plan based on device capabilities and executes associated tasks. The execution status is communicated back to the requesting entity.

AI agent, core network, agentic service, execution status

Patent

Ai agent and generative ai-based b2b solution comparison, recommendation, and deployment automation system and method

Patent published on the 2026-10-08 in WO under Ref WO2026212264 by IMPACT FLOW INC [KR] (Ryu Hyokwon [kr])

Abstract: Disclosed is a B2B solution deployment automation apparatus and a method that use an AI agent and a generative AI model to generate user requirement-based B2B solution recommendations and comparison reports, and furthermore, automatically orchestrate a deployment process such as integration configuration, API connection, and data migration, and provide operational optimization feedback through calculation of performance, cost, and security indices.[...]


Our summary: The system automates B2B solution deployment using an AI agent and generative AI model. It generates user requirement-based recommendations and comparison reports. The method also orchestrates integration, API connections, and data migration while providing optimization feedback.

B2B solutions, AI agent, generative AI, deployment automation

Patent

Secured distributed network context management for ai agent

Patent published on the 2026-10-08 in WO under Ref WO2026209409 by NOKIA TECH OY [FI] (Aggarwal Chaitanya [de], Gajic Borislava [de], Tang Haitao [fi], Mishra Rajendrakumar Premnarayan [in])

Abstract: Example embodiments of the present disclosure are directed to secured distributed network context management for an artificial intelligence (AI) agent. A method comprises verifying, based on a context distribution policy associated with a second apparatus comprised in the at least one apparatus, that a network context is authorized to be provided to the second apparatus, wherein the context distribution policy indicates identifier information of the second apparatus and an indication of a networ[...]


Our summary: The method verifies network context authorization based on a context distribution policy. It identifies the second apparatus and the allowed network context. The authorized context is transmitted to the second apparatus for a generative AI agent.

secured distributed network, context management, artificial intelligence, policy verification

Patent

Collaborative and cooperative processing method for tasks in wireless network system, wireless network system, electronic device and computer program

Patent published on the 2026-10-08 in WO under Ref WO2026208347 by ZTE CORP [CN] (Yang Li [cn], Sun Wenwen [cn], Xie Feng [cn])

Abstract: Provided in the embodiments of the present disclosure are a collaborative and cooperative processing method for tasks in a wireless network system, a wireless network system, an electronic device and a computer program product, wherein the method is applied to a network element node, a communication-computing service layer and an AI agent (AA) task layer being deployed on the network element node, and the AA task layer comprising one or more AA functional entities. The method comprises: the AA t[...]


Our summary: The method enables collaborative processing for tasks in a wireless network system. It involves interaction between an AI agent task layer and a communication-computing service layer. This approach addresses efficient cooperation between different network element nodes across various vendors.

collaborative processing, wireless network, AI agents, task cooperation

Patent

System and method for accelerating operations of an ai agent on a digital interface

Patent published on the 2026-10-08 in US under Ref US20260311007 by EVINCED INC [US] (Synett Yossi [il], Moav Gal [il], Thadani Navin R [us], Or Evyatar Yaakov [il], Hakman Tair [il], Orgil Kfir Yehuda [il], Bracha Ben [il])

Abstract: [0000] The method and system for accelerating operations of an AI agent is presented. The method includes receiving, by a first AI agent, a task to be performed on at least one digital interface based on a natural language request from a client device; extracting, by the first AI agent, at least one learned skill to be used by the first AI agent for completing the task based on accessibility semantics of at least one component of the at least one digital interface, wherein learned skills are cap[...]


Our summary: The system accelerates AI agent operations on digital interfaces. It involves receiving tasks from client devices and extracting learned skills based on accessibility semantics. The AI agent completes tasks using these skills effectively.

AI agent, digital interface, natural language processing, learned skills

Patent

Novel edge-based multi-agent system for real-time data validation and quality grading

Patent published on the 2026-10-08 in US under Ref US20260312968 by PARA RAGHU KUL THILAK [CA] (Para Raghu Kul Thilak [ca])

Abstract: [0000] present invention relates to an edge-based multi-agent data validation system that executes specialized checks (schema, domain, semantic, anomaly) on incoming data streams in near real time. A coordinator module aggregates validation outputs and assigns a quality tier label (bronze, silver, or gold) to each data unit. This immediate classification prevents contaminated data from infiltrating downstream pipelines, thereby reducing bandwidth usage and storage overhead. Agents autonomously a[...]


Our summary: The invention presents an edge-based multi-agent system for real-time data validation. It performs specialized checks on incoming data streams and assigns quality tier labels. The system enhances data integrity and reduces resource usage in distributed environments.

multi-agent system, data validation, real-time processing, edge computing

Patent

A Scoping Review

Published on 2026-02-01 by Jonathan Gibson, Praveen Chinniah, Shashank Chapala, Ojasvi Vemuri, Rajesh Botchu @MDPI

Abstract: Objectives: Artificial intelligence (AI) is a transformative development in the field of medicine. In the field of musculoskeletal radiology, agentic AI is a technology that could flourish, but currently, the limited evidence base is fragmented and sparse, and we present a scoping review of it. Methods: Parallel searches were conducted in four databases: PubMed, Embase, Scopus, and Web of Science. Search terms included all agentic AI and autonomous AI agents, as well as radiology. All papers und[...]


Our summary: This scoping review evaluates the potential of agentic AI in musculoskeletal radiology. It identifies eleven relevant studies highlighting improved decision support, workflow optimization, and image analysis. Despite promising findings, the evidence base remains limited and theoretical.

AI in Radiology, Musculoskeletal Imaging, Workflow Optimization, Decision Support

Publication

A Novel Security Index for Assessing Information Systems in Industrial Organizations Using Web Technologies and Fuzzy Logic

Published on 2026-01-29 by Sulieman Khaddour, Fares Abu-Abed, Valery Bogatikov @MDPI

Abstract: Industrial information systems based on web technologies (ISOWT) face escalating security challenges, particularly in critical sectors such as energy. Traditional qualitative security assessments often lack the ability to deliver actionable, real-time insights for managing complex, dynamic threats. This paper proposes a novel security index for evaluating ISOWT in industrial organizations by integrating fuzzy logic, metric-based evaluation, fuzzy Markov chains, and multi-agent systems. The propo[...]


Our summary: This paper introduces a novel security index for evaluating industrial information systems using web technologies and fuzzy logic. It quantifies deviations from an ideal safety center, enabling early risk detection and proactive mitigation. The methodology shows significant improvements in security metrics and outperforms existing assessment techniques.

Security Index, Fuzzy Logic, Information Systems, Web Technologies

Publication

다룬 주제: 에이전트형 AI, 자율적 의사결정, 반복적 프로세스, 다단계 목표, 인식, 계획, 도구 사용, 자체 수정 루프, 대규모 언어 모델, 메모리 아키텍처, 다중 에이전트 구성, 에이전트 간 통신 프로토콜, 계획 알고리즘, 에이전트 평가 벤치마크, 안전 제약 조건 방법론, 충돌 해결, 오케스트레이터 ISO/IEC 27001, ISO/IEC 25010, ISO 9241, ISO/IEC 2382 및 IEEE 1012.

사용된 용어집

Application Programming Interface (API): 서로 다른 소프트웨어 애플리케이션이 통신하고 상호 작용할 수 있도록 하는 규칙 및 프로토콜 집합으로, 시스템 간 기능 통합 및 데이터 교환을 가능하게 합니다.

Large Language Model (LLM): 방대한 텍스트 데이터셋으로 학습된 통계 모델로, 인간과 유사한 언어를 이해하고 생성합니다. 딥러닝 기술, 특히 신경망을 활용하여 단어 순서를 예측하고 다양한 자연어 처리 작업을 수행합니다.

역사적 맥락

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(날짜를 알 수 없거나 관련이 없는 경우, 예를 들어 "유체역학"의 경우, 주목할 만한 등장 시기를 대략적으로 추정하여 제공합니다.)

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