Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the
full breadth of the field, which encompasses logic, probability, and continuous mathematics;
perception, reasoning, learning, and action; and everything from microelectronic devices to
robotic planetary explorers. The book is also big because we go into some depth.
The subtitle of this book is “A Modern Approach.” The intended meaning of this rather
empty phrase is that we have tried to synthesize what is now known into a common frame-
work, rather than trying to explain each subfield of AI in its own historical context. We
apologize to those whose subfields are, as a result, less recognizable.
Metalog is a modern replacement for syslogd and klogd. The logged messages
can be dispatched according to their facility, urgency, program name and/or
Perl-compatible regular expressions. Log files can be automatically rotated
when they exceed a certain size or age. External shell scripts (e.g., mail)
can be launched when specific patterns are found.
Metalog is easier to configure than syslogd and syslog-ng, accepts unlimited
number of rules and has (switchable) memory bufferization for maximal
performance.
Using a holistic approach to teaching developers the ins-and-outs of GNU/Linux programming using APIs, tools, communication, and scripting, this book introduces programmers to the environment from the lowest layers to the user layers.
Our approach to understanding mobile learning begins by describing a dialectical
approach to the development and presentation of a task model using the sociocognitive
engineering design method. This analysis synthesises relevant theoretical
approaches. We then examine two field studies which feed into the development of
the task model.
