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最新の出版物:エージェント型AIに関する特許

エージェントAI

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Agentic ai
エージェント型AIが革命を起こす 製品デザイン 反復的なプロセスを通じて、自律的で目標指向的な意思決定を可能にすることによって。

エージェント型AIとは、知覚、計画、ツールの使用、自己修正のループを反復することで、各意思決定ポイントで人間の介入を必要とせずに、複数のステップからなる目標を自律的に追求するAIシステムを指します。これは、単一ターンの即時応答モデルから、複雑な目標をサブタスクに分解し、外部環境に対してアクションを実行し、結果を評価し、それに応じて計画を修正するアーキテクチャへと構造的に移行するものです。

標準的なエージェントアーキテクチャは、大規模な言語モデル推論コアと、Webブラウザ、コードインタプリタ、APIクライアント、ファイルシステム、データベースインターフェースなどのツールレジストリ、そして短期的な作業コンテキスト、過去のアクションのエピソード記録、取得された長期的な知識を網羅するメモリアーキテクチャを組み合わせ、エージェントが単一のコンテキストウィンドウを超える広範な相互作用の期間にわたって一貫した目標追求を維持できるようにします。マルチエージェント構成では、これをさらに拡張し、オーケストレータによって調整される専門エージェント間でサブタスクを分散させ、エージェント間の連携を導入します。 コミュニケーション プロトコル、結果の集約、および競合解決は、追加のアーキテクチャ上の懸念事項である。

以下に索引付けされている出版物および特許は、計画アルゴリズム、ツール使用アーキテクチャ、メモリシステム、マルチエージェント協調プロトコル、エージェント評価ベンチマーク、および安全制約手法を扱っています。

これは、エージェント型AIに関する英語の世界中の出版物と特許の最新のセレクションです。多数の科学オンラインジャーナルの中から、エージェント型AI、AIエージェント、自律型AIエージェント、マルチエージェントシステム、AIエージェントオーケストレーション、エージェントプランニングループ、ReActエージェント、思考連鎖プランニング、ツール使用型AIエージェント、関数呼び出しAI、AIエージェントメモリ、長期エージェントメモリ、エピソードエージェントメモリ、エージェントワーキングメモリ、AIエージェントタスク分解、階層型エージェントプランニング、AIエージェント自己修正、AIエージェント反射、AIエージェント評価、エージェント報酬形成、AIエージェントサンドボックス、エージェント安全ガードレール、マルチエージェント協調、エージェント通信プロトコル、AIエージェントツールレジストリ、コード実行エージェント、ウェブブラウジングエージェント、検索拡張エージェント、エージェントベンチマーク評価、ヒューマンインザループエージェントに分類され、焦点を絞っています。

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

取り上げるトピック: エージェント型AI、自律的な意思決定、反復プロセス、多段階目標、知覚、計画、ツールの使用、自己修正ループ、大規模言語モデル、メモリアーキテクチャ、マルチエージェント構成、エージェント間通信プロトコル、計画アルゴリズム、エージェント評価ベンチマーク、安全制約手法、競合解決、オーケストレーター、ISO/IEC 27001、ISO/IEC 25010、ISO 9241、ISO/IEC 2382、およびIEEE 1012。

用語集

Application Programming Interface (API): 異なるソフトウェアアプリケーションが相互に通信し、連携することを可能にする一連の規則とプロトコルであり、システム間の機能統合とデータ交換を可能にする。

歴史的背景

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