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Summary & Details

Tire Development through Human-AI Collaboration in the Era of Agentic AI

エージェンティックAI 時代を見据えた“人とAIとの協奏”によるタイヤ開発

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20264235

Paper/Info type: Journal of Society of Automotive Engineers of Japan

Vol.80 No.4

Pages: 74-80(Total 7 p)

Date of publication: Apr 2026

Publisher: JSAE

Language: Japanese

Detailed Information

Category(J)	2050年に向かう自動車材料の革新 ―軽量化・電動化・循環型社会への挑戦― Translation
Author(J)	1) 小石　正隆
Author(E)	1) Masataka Koishi
Affiliation(J)	1) 横浜ゴム
Abstract(J)	文脈共有・スキーマ・アブダクション推論を軸に，エージェンティックAI時代を見据えた”タイヤ開発へのAI活用事例を通じて，文脈共有，スキーマに基づくアブダクション推論，記号接地の意義を論じ，エージェンティックAI時代の人とAIの協奏による開発枠組みを提案した．MCPサーバにリソースと各種ツールを統合し，文脈共有エージェントと多様なスキーマを持つ複数エージェントからなる開発支援の枠組みを示した． Translation
Abstract(E)	This paper discusses the significance of context sharing, schema-based abductive reasoning, and symbol grounding through an AI application case in tire development, and proposes a human–AI collaboration framework for the agentic-AI era. We present an agentic architecture in which an MCP server integrates resources and design-support tools, and coordinates a context-sharing agent with multiple agents embodying diverse schemas. The system is intended to support interpretation and decision-making by providing complementary perspectives and evidence while keeping humans at the center of development.

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