November 2025
Intermediate to advanced
228 pages
2h 57m
Japanese
Content preview from 先駆者に学ぶAIプロダクトマネジメント ―アイディエーションから設計、構築、市場投入、運用までBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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8章AIエージェントを構築する
AIエージェントは、タスクを自動化し、ユーザー体験を向上させ、そして最も重要なこととして、「一度はチャットボットが実現したものの、十分とは言えなかった夢」を果たすことで、さまざまな業界を根本的に変革しています。研究者のPooleとMackworthは、知能またはAIエージェントの基本的な特性について論じています。彼らの研究は、図8-1に描かれているフレームワークを紹介しています。
このフレームワークにおいてエージェントとは環境の中で行動するものです。エージェントは以下のような場合に知的に行動します。
- 行動がゴールと状況に適している。
- 環境やゴールの変化にも柔軟に対応できる。
- 経験から学ぶ。
- 知覚と計算の制約の中で適切な選択をする†1。
[†1] David L. Poole and Alan K. Mackworth, Artificial Intelligence：Foundations of Computational Agents, 2nd Edition(Cambridge University Press, 2017).
図8-1 環境とやり取りするエージェント（出典：David L. Poole and Alan K. Mackworth）
このモデルは、モダンなAIエージェントの重要な特徴である適応力と学習の重要性を際立たせています。図8-1に示すように、エージェントの能力、ゴール、そして予備知識は、環境内での行動に影響を与えます。エージェントはさまざまな刺激を感知し、過去の経験を利用しつつ、計算能力を使って意思決定を行います。 ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.