Robust Intelligence and Trust in Autonomous Systems
暫譯: 自主系統中的穩健智能與信任
- 出版商: Springer
- 出版日期: 2016-04-08
- 售價: $4,510
- 貴賓價: 9.5 折 $4,285
- 語言: 英文
- 頁數: 270
- 裝訂: Hardcover
- ISBN: 1489976663
- ISBN-13: 9781489976666
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商品描述
This volume explores the intersection of robust intelligence (RI) and trust in autonomous systems across multiple contexts among autonomous hybrid systems, where hybrids are arbitrary combinations of humans, machines and robots. To better understand the relationships between artificial intelligence (AI) and RI in a way that promotes trust between autonomous systems and human users, this book explores the underlying theory, mathematics, computational models, and field applications. It uniquely unifies the fields of RI and trust and frames it in a broader context, namely the effective integration of human-autonomous systems.
A description of the current state of the art in RI and trust introduces the research work in this area. With this foundation, the chapters further elaborate on key research areas and gaps that are at the heart of effective human-systems integration, including workload management, human computer interfaces, team integration and performance, advanced analytics, behavior modeling, training, and, lastly, test and evaluation.
Written by international leading researchers from across the field of autonomous systems research, Robust Intelligence and Trust in Autonomous Systems dedicates itself to thoroughly examining the challenges and trends of systems that exhibit RI, the fundamental implications of RI in developing trusted relationships with present and future autonomous systems, and the effective human systems integration that must result for trust to be sustained.
Contributing authors: David W. Aha, Jenny Burke, Joseph Coyne, M.L. Cummings, Munjal Desai, Michael Drinkwater, Jill L. Drury, Michael W. Floyd, Fei Gao, Vladimir Gontar, Ayanna M. Howard, Mo Jamshidi, W.F. Lawless, Kapil Madathil, Ranjeev Mittu, Arezou Moussavi, Gari Palmer, Paul Robinette, Behzad Sadrfaridpour, Hamed Saeidi, Kristin E. Schaefer, Anne Selwyn, Ciara Sibley, Donald A. Sofge, Erin Solovey, Aaron Steinfeld, Barney Tannahill, Gavin Taylor, Alan R. Wagner, Yue Wang, Holly A. Yanco, Dan Zwillinger.
商品描述(中文翻譯)
本卷探討了強健智慧（Robust Intelligence, RI）與信任在自主系統中的交集，涵蓋了自主混合系統的多種情境，其中混合系統是人類、機器和機器人之間的任意組合。為了更好地理解人工智慧（Artificial Intelligence, AI）與RI之間的關係，以促進自主系統與人類使用者之間的信任，本書探討了基礎理論、數學、計算模型和實地應用。它獨特地統合了RI和信任的領域，並將其框架置於更廣泛的背景中，即人類與自主系統的有效整合。
對RI和信任的當前技術狀態的描述引入了該領域的研究工作。在此基礎上，各章進一步闡述了有效的人系統整合的核心關鍵研究領域和空白，包括工作負載管理、人機介面、團隊整合與表現、高級分析、行為建模、訓練，以及最後的測試與評估。
《強健智慧與自主系統中的信任》由來自自主系統研究領域的國際領先研究者撰寫，致力於徹底檢視展現RI的系統所面臨的挑戰與趨勢，RI在與當前及未來自主系統建立信任關係中的基本意涵，以及為了維持信任所必須實現的有效人系統整合。
貢獻作者：David W. Aha, Jenny Burke, Joseph Coyne, M.L. Cummings, Munjal Desai, Michael Drinkwater, Jill L. Drury, Michael W. Floyd, Fei Gao, Vladimir Gontar, Ayanna M. Howard, Mo Jamshidi, W.F. Lawless, Kapil Madathil, Ranjeev Mittu, Arezou Moussavi, Gari Palmer, Paul Robinette, Behzad Sadrfaridpour, Hamed Saeidi, Kristin E. Schaefer, Anne Selwyn, Ciara Sibley, Donald A. Sofge, Erin Solovey, Aaron Steinfeld, Barney Tannahill, Gavin Taylor, Alan R. Wagner, Yue Wang, Holly A. Yanco, Dan Zwillinger。
