The Big Questions - A Short Introduction to Philosophy

It's time for an introduction to philosophy textbook that you can relate to and enjoy reading! THE BIG QUESTIONS: A SHORT INTRODUCTION TO PHILOSOPHY tackles the tough issues and helps you form your own opinions about course topics while presenting the best philosophical selections available.

James Kalat's best-selling Introduction to Psychology does far more than cover major theories and studies; it encourages you to question the information and ask yourself, "How was this conclusion reached?" and "Does the evidence really support it?" In this student-praised text, Kalat challenges your preconceptions about psychology to help you become a more informed consumer of information not only during your college experience but also as you venture into your post-college life.

Introduction to Sociology- 10th Edition (2010)

This revised edition of Tischler's INTRODUCTION TO SOCIOLOGY continues a tradition of providing a proven and comprehensive textbook to students and professors at a lower, very reasonable price. With its built in study guide, practice tests, and available access to SociologyNow, no other textbook on the market provides students with a complete suite of study aids at an affordable price as INTRODUCTION TO SOCIOLOGY.

An Introduction to Language (9th Edition)

Assuming no prior knowledge of linguistics, AN INTRODUCTION TO LANGUAGE, Ninth Edition, is appropriate for a variety of fields--including education, languages, psychology, anthropology, English, and teaching English as a Second Language (TESL)--at both the undergraduate and graduate levels. This completely updated edition retains the clear descriptions, humor, and seamless pedagogy that have made the text a perennial best-seller, while adding new information and exercises that render each topic fresh, engaging, and current.

Reinforcement Learning: An Introduction

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications