商品描述
This book explores how Artificial Intelligence (AI), by leading to an increase in the autonomy of machines and robots, is offering opportunities for an expanded but uncertain impact on society by humans, machines, and robots. To help readers better understand the relationships between AI, autonomy, humans and machines that will help society reduce human errors in the use of advanced technologies (e.g., airplanes, trains, cars), this edited volume presents a wide selection of the underlying theories, computational models, experimental methods, and field applications. While other literature deals with these topics individually, this book unifies the fields of autonomy and AI, framing them in the broader context of effective integration for human-autonomous machine and robotic systems.
The contributions, written by world-class researchers and scientists, elaborate on key research topics at the heart of effective human-machine-robot-systems integration. These topics include, for example, computational support for intelligence analyses; the challenge of verifying today’s and future autonomous systems; comparisons between today’s machines and autism; implications of human information interaction on artificial intelligence and errors; systems that reason; the autonomy of machines, robots, buildings; and hybrid teams, where hybrid reflects arbitrary combinations of humans, machines and robots.
The contributors span the field of autonomous systems research, ranging from industry and academia to government. Given the broad diversity of the research in this book, the editors strove to thoroughly examine the challenges and trends of systems that implement and exhibit AI; the social implications of present and future systems made autonomous with AI; systems with AI seeking to develop trusted relationships among humans, machines, and robots; and the effective human systems integration that must result for trust in these new systems and their applications to increase and to be sustained.
商品描述(中文翻譯)
這本書探討了人工智慧（AI）如何透過提高機器和機器人自主性，為人類、機器和機器人提供擴展但不確定的社會影響機會。為了幫助讀者更好地理解AI、自主性、人類與機器之間的關係，這些關係將有助於社會減少在使用先進技術（例如飛機、火車、汽車）時的人為錯誤，本書編輯的這本書呈現了廣泛的基礎理論、計算模型、實驗方法和現場應用。雖然其他文獻分別處理這些主題，但本書將自主性和AI統一在一起，並將其框架置於人類與自主機器和機器人系統有效整合的更廣泛背景中。
這些貢獻由世界級的研究人員和科學家撰寫，詳細闡述了有效的人機機器人系統整合的核心關鍵研究主題。這些主題包括，例如，智能分析的計算支持；驗證當今和未來自主系統的挑戰；當今機器與自閉症之間的比較；人類信息互動對人工智慧和錯誤的影響；能進行推理的系統；機器、機器人、建築的自主性；以及混合團隊，其中混合反映了人類、機器和機器人的任意組合。
貢獻者涵蓋了自主系統研究的各個領域，從產業和學術界到政府。鑑於本書研究的廣泛多樣性，編輯們努力徹底檢視實施和展示AI的系統所面臨的挑戰和趨勢；當前和未來的系統在AI的驅動下所帶來的社會影響；尋求在人類、機器和機器人之間建立信任關係的AI系統；以及必須實現的有效人系統整合，以增強對這些新系統及其應用的信任並持續增長。
