The Apprentice's Path


Book Description

Dana Bedwen never wanted to be a dark mage. It's in her blood. It's her destiny. But what is that, compared to a young woman's desire to be an Alchemist? So she is looking for a job as an Alchemist, despite the suspicion and discrimination she faces as a dark arall. She wants to build steam trains and make money, not spend time on silly, antiquated rituals. But the Universe is conspiring against her. In order to save her own life, she'll have to accept the fate she fought so hard to avoid. On the path to her destiny, she'll regain longlost family, a boyfriend, and uncover some secrets about herself. Book one of the Alchemist series, which will take you through Dana's personal growth story, as she accepts her destiny and matures to become the great woman she will become. Without forgetting alchemy, of course.




The Uncertain Path


Book Description

Because he chose to take part in the revolution on Melida/Daan, Obi-Wan Kenobi is no longer a Jedi. But as the revolution continues and he can no longer tell his friends from his enemies, he grows to regret his choice.
















Ways of Knowing


Book Description

Questions about how humans come to know themselves and their worlds have always been at the heart of anthropology, and are necessarily part of a broader intellectual history. This book brings together anthropologists to discuss how they come to know what they know about the societies they study.




Apprenticeship Patterns


Book Description

Are you doing all you can to further your career as a software developer? With today's rapidly changing and ever-expanding technologies, being successful requires more than technical expertise. To grow professionally, you also need soft skills and effective learning techniques. Honing those skills is what this book is all about. Authors Dave Hoover and Adewale Oshineye have cataloged dozens of behavior patterns to help you perfect essential aspects of your craft. Compiled from years of research, many interviews, and feedback from O'Reilly's online forum, these patterns address difficult situations that programmers, administrators, and DBAs face every day. And it's not just about financial success. Apprenticeship Patterns also approaches software development as a means to personal fulfillment. Discover how this book can help you make the best of both your life and your career. Solutions to some common obstacles that this book explores in-depth include: Burned out at work? "Nurture Your Passion" by finding a pet project to rediscover the joy of problem solving. Feeling overwhelmed by new information? Re-explore familiar territory by building something you've built before, then use "Retreat into Competence" to move forward again. Stuck in your learning? Seek a team of experienced and talented developers with whom you can "Be the Worst" for a while. "Brilliant stuff! Reading this book was like being in a time machine that pulled me back to those key learning moments in my career as a professional software developer and, instead of having to learn best practices the hard way, I had a guru sitting on my shoulder guiding me every step towards master craftsmanship. I'll certainly be recommending this book to clients. I wish I had this book 14 years ago!"-Russ Miles, CEO, OpenCredo




Path of Heroes


Book Description

Joseph Varian is the prince of a kingdom, and a young one, at that. He lives a relatively normal life, so far as nobility can go. He studies, has friends, and is ignorant of the outside world. But when a trip to Northshire goes awry, and when a dark mage incites a rebellion using an ancient artifact, it is up to Joseph and his friends to stop the madness, and defend their home. Enter a world of myth and magic, and embark on the path of heroes.




Interactive Task Learning


Book Description

Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King