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최신 출판물 – 에이전트형 AI 관련 특허

에이전트 AI

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Agentic ai
에이전트형 AI가 혁명을 일으키다 제품 디자인 반복적인 과정을 통해 자율적이고 목표 지향적인 의사결정을 가능하게 함으로써.

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.

아래에 색인된 출판물 및 특허는 계획 알고리즘, 도구 사용 아키텍처, 메모리 시스템, 다중 에이전트 조정 프로토콜, 에이전트 평가 벤치마크 및 안전 제약 조건 방법론을 다룹니다.

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.

Secure check processing system and related method

Patent published on the 2026-06-11 in US under Ref US20260162094 by IWALLET INC [US] (Kolchin Dmitriy [us])

Abstract: [0000] An AI-based method for integrating payment processing across disparate systems enables seamless transaction reconciliation and payment status updates without relying on APIs. The AI agent autonomously retrieves transaction data from third-party processors, scheduling systems, or CRMs using techniques such as web scraping, optical character recognition (OCR), and pattern recognition. The agent dynamically adapts to system workflows through reinforcement learning, performs risk assessments [...]


Our summary: The method enables seamless payment processing across different systems without APIs. It uses AI to autonomously retrieve transaction data and adapt to workflows. The system enhances operational efficiency and compliance through real-time updates and audit logs.

payment processing, AI integration, transaction reconciliation, risk assessment

Patent

Agentic ai system for dynamically determining optimal toolchain, and driving method therefor

Patent published on the 2026-05-28 in WO under Ref WO2026111487 by LG MANAGEMENT DEVELOPMENT INST CO LTD [KR] (Lee Hong Lak [kr], Sohn Sung Ryull [kr], Choi Ye Muk [kr])

Abstract: The present disclosure provides an agentic AI driving method for dynamically determining an optimal toolchain on the basis of an execution mode according to a user input and an expected latency of a toolchain DB. Accordingly, an external tool and an internal module are controlled to execute a main task and output a final response including the execution result.[...]


Our summary: The system dynamically determines the optimal toolchain based on user input and expected latency. An external tool and internal module are controlled to execute a main task. The final response includes the execution result.

Agentic AI, toolchain optimization, execution mode, latency management

Patent

Method and system for artificial intelligence (ai) agent training

Patent published on the 2026-05-28 in US under Ref US20260148085 by TATA CONSULTANCY SERVICES LTD [IN] (Sivakumar Narendran [gb], Ramasamy Venkada Subramanian [in], Viswanathan Sankaranarayanan [in], Kannan Radhika [in])

Abstract: [0000] AI systems, while have excelled in environments defined by clear rules and singular tasks, have been found to be struggling to handle Knowledge works which encompass tasks requiring judgment, interpretation, and creative problem-solving. Method and system disclosed herein provide an Artificial Intelligence (AI) agent training approach. In this approach, the system 100 achieves collaboration between different AI agents that are part of a network, for handling each task. During the training[...]


Our summary: This method enhances AI agent training by fostering collaboration among multiple agents. It addresses challenges in knowledge work that require judgment and creativity. The training utilizes dynamically decided actions based on activation levels of active agents.

AI training, collaborative agents, knowledge work, dynamic decision-making

Patent

Method for performing a task according to a flare model including a multi-modal planning module and an environment-adaptive replanning module and ai a

Patent published on the 2026-05-21 in US under Ref US20260141703 by UIF UNIV INDUSTRY FOUNDATION YONSEI UNIV [KR] (Kim Tae Woong [kr], Kim Byeonghwi [kr], Choi Jonghyun [kr])

Abstract: [0000] A method for performing a task according a FLARE model including a multi-modal planning module and an environment-adaptive replanning module is provided. The method of an AI agent includes steps of: (a) instructing the multi-modal planning module to calculate degrees of similarity between training data and a current pair comprised of natural language data and image data and acquire k natural language data by using the degrees of similarity; (b) instructing the multi-modal planning module [...]


Our summary: The method involves an AI agent utilizing a multi-modal planning module to analyze natural language and image data. It generates an initial action plan based on similarity degrees and adapts the plan using an environment-adaptive replanning module when necessary. The process ensures effective task performance even when target information is incomplete.

AI, multi-modal planning, environment-adaptive replanning, FLARE model

Patent

Computer-implemented method, computer system, data models, and computer program for simulating degradation, ageing, performance, and/or thermal behavi

Patent published on the 2026-05-20 in EP under Ref EP4745825 by BATTERY SPHERE GMBH [DE] (Lutz Lukas [de], Scherrer Luca [de], Alves Dalla Corte Daniel [de], Principe Victor [de])

Abstract: [0001] The invention relates to a computer-implemented method for simulating and predicting a degradation, ageing, performance, and/or thermal behavior of an electric battery, a method for generating corresponding training datasets, and a computer system for supporting users in different aspects of battery development, testing and validation. This battery domain specific artificial intelligence system (Battery AI System) applies raw data preparation steps like segmenting, timestamp data extracti[...]


Our summary: The invention describes a method and system for simulating battery degradation and performance. It utilizes transformer-based machine learning models for accurate predictions. A large language model facilitates user interaction with the Battery AI System.

simulation, battery, machine learning, degradation

Patent

Dynamic navigation generation using ai

Patent published on the 2026-05-07 in US under Ref US20260126295 by IBM [US] (Brew Kevin Wayne [us], Shah Priti Ashvin [us], Morillo Jaime D [us])

Abstract: [0000] A monitoring system includes a computer hardware system with a hardware processor configured to initiate the following executable operations. Communications from one or more communication devices associated with first responders are real-time monitored. Using an artificial intelligence (AI) agent analyzing the communications, an event is detected. Using the AI agent, an event location associated with the event is identified. Using the AI agent and the event location, an occlusion zone ass[...]


Our summary: The system monitors real-time communications from first responders. An AI agent detects events and identifies their locations. It generates occlusion zones and updates map data for route adjustments.

AI, dynamic navigation, event detection, occlusion zone

Patent

agentic AI and the future of electron microscopy

Published on 2026-04-10 by Vida Jamali, Amirali Aghazadeh, Josh Kacher @NATURE npj

Abstract: npj Computational Materials, Published online: 10 April 2026; doi:10.1038/s41524-026-02077-yAdvances in microscopy have long focused on improving resolution, throughput, and automation. The next transformation may lie in enabling microscopes to contribute to the reasoning that guides experiments. Recent advances in agentic artificial intelligence (AI) suggest a future in which microscopes do more than simply acquire images. Agentic systems could draw on prior knowledge, interpret experimental ou[...]


Our summary: Advances in agentic AI could enable electron microscopes to interpret data and design experiments. This transformation may shift microscopes from passive tools to active collaborators in research. The transition requires community support through open access and data sharing initiatives.

agentic AI, electron microscopy, experimental design, materials characterization

Publication

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

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.

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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