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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。

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

Adaptive ai coworker for organizational operations

Patent published on the 2026-05-07 in US under Ref US20260127021 by LUMINADATA INC [US] (Chafekar Deepti [us], Ara Afrozy [us])

Abstract: [0000] Examples relate to an adaptive AI coworker system for enhancing organizational operations. The system generates personalized AI coworkers based on role requirements, employing adaptive learning to understand unique organizational practices. It utilizes multi-agent coordination for complex task execution, automatically generating, prioritizing, and allocating tasks based on organizational context. The system integrates data from various sources, implementing data governance measures. Custo[...]


Our summary: The system generates personalized AI coworkers tailored to role requirements. It employs adaptive learning and multi-agent coordination for efficient task execution. Explainable AI features ensure transparency and compliance with data governance standards.

adaptive AI, organizational operations, multi-agent coordination, explainable AI

Patent

Computer-implementable method and system for document-based question answering

Patent published on the 2026-04-22 in EP under Ref EP4730150 by KONINKLIJKE PHILIPS NV [NL] (Eisenhardt Marc [nl])

Abstract: The present invention relates to a system and computer-implementable method for document-based question answering. The method comprises obtaining a document; obtaining a question of a user related to said document; invoking an AI agent to generate an answer to said question; and outputting the generated answer.[...]


Our summary: The invention provides a method for answering questions based on documents. It involves obtaining a document and a user question. An AI agent generates and outputs the answer to the question.

document-based QA, AI agent, question answering, computer-implementable method

Patent

Multi-agent process simulations

Patent published on the 2026-04-22 in EP under Ref EP4730201 by SAP SE [DE] (Gerber Andreas [de])

Abstract: [0001] Systems and methods described herein provide a computer-implemented approach for process simulations using multi-agent systems. Software agents are trained using historical process data associated with a process. Each software agent represents a single task in the process. Based on a candidate process model, the process is simulated to generate simulation results by executing a multi-agent system. The software agents operate autonomously within the multi-agent system based on trained beha[...]


Our summary: This content describes a method for simulating processes using multi-agent systems. Software agents are trained on historical data to represent tasks within the process. The simulation results are compared with runtime results to adjust the process model iteratively.

multi-agent systems, process simulation, software agents, runtime configuration

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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