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Although multihomed communication is a rapidly emerging trend for
next generation networks, no known book explores multihomed
communication with the Stream Control Transmission Protocol (SCTP).
Filling this void, Multihomed Communication with SCTP (Stream
Control Transmission Protocol) explains this innovative feature
that allows an endpoint to simultaneously maintain and use multiple
points of connectivity to the network-making it possible for fixed
and mobile users to connect to the Internet via multiple service
providers or last hop technologies. Among the topics addressed, the
book covers: Support of node mobility between networks Concurrent
multipath transfer using SCTP multihoming Low delay communication
and multimedia applications High performance computing using
commodity hardware and software SCTP support in the INET framework
and its analysis in the Wireshark packet analyzer SCTP application
interface Ideal for researchers and programmers, this
forward-looking reference describes SCTP multihoming concepts and
implementation, applications of multihoming across different
domains, and proposed extensions such as multipath transfer and
mobility. Although the book is aimed at those with an advanced
background, it also covers the fundamental concepts and mechanisms
of SCTP multihoming to help anyone get up to speed on SCTP.
This open access book introduces the reader to the foundations of
AI and ethics. It discusses issues of trust, responsibility,
liability, privacy and risk. It focuses on the interaction between
people and the AI systems and Robotics they use. Designed to be
accessible for a broad audience, reading this book does not require
prerequisite technical, legal or philosophical expertise.
Throughout, the authors use examples to illustrate the issues at
hand and conclude the book with a discussion on the application
areas of AI and Robotics, in particular autonomous vehicles,
automatic weapon systems and biased algorithms. A list of questions
and further readings is also included for students willing to
explore the topic further.
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.
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