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Human language is a magnificently complex cognitive process, integrating many of the processes we’ve already discussed. You must accurately perceive the letters or the sounds. You must link them to the intended memory representations of what those letters or sounds correspond to. Then you must make sense of the piece of language as a whole, in the context of a rich network of memories. Think of what goes unstated in the earlier joke. You must choose a meaning for “cutting” that is not about knives or standing in line but about insults. You must understand that a “clown” is not just a positive role of someone who entertains at children’s birthday parties and is a talented physical comedian in circuses but also someone who is rude or stupid. Finally, you have to see the humor in calling someone rude or stupid, but not so rude and stupid that they become famous for it.
In Chapter 1, we discussed the objections the behaviorists raised to the cognitive program. One of their concerns was the use of nonobservables in theory, for example, creating a theory of how memory works that includes representations such as short-term and long-term memory. No one can actually see or otherwise directly observe short-term memory, so how can we use it to explain human behavior? Cognitivists replied that they were going to use human behavior to test their models. But if so, it seems inevitable that their reasoning would end up being circular. They want to explain how humans behave, yet they plan to test whether the model is right using that same behavior.
In the previous chapter we considered the structure of our memories. What are the different kinds of memories? How are they organized? In this chapter and the next we will focus on the processes that turn experiences into memories and help us recall these memories later. Each chapter describes one of the two basic processes of memory: encoding and retrieval.
While our working memory system maintains information for short periods of time – seconds or minutes – we also need to maintain information over much longer periods: hours, days, weeks, months, and even years. Researchers call this long-term memory. Most questions people have about their own long-term memories are prompted when there’s a failure. Why can’t I remember that person’s name? Where did I put my glasses? What’s the answer to number 7 on this quiz? Cognitive psychologists are interested in failures of memory but more broadly target memory organization (its structure) and memory operation (its processes). Of course, the hope is that once we figure these things out, we can answer more specific and individual questions like where your glasses are (have you checked your head?) or how to study effectively (have you tested yourself?). In this chapter we will first describe the structure of long-term memory: We’ll describe different types of long-term memory and their organization. In the next two chapters, we will describe memory processes of encoding (getting memory in) and retrieval (bringing memory back for current use).
A problem can be defined very generally as any situation in which a person has a goal that is not yet accomplished. That definition encompasses what we called decision-making. When psychologists talk about problem-solving, however, they typically mean open-ended problems in which the person knows the goal but nothing in the problem describes how to accomplish the goal.
In Chapter 6 we asked how explicit memory was organized (e.g., how does the concept for “bird” relate to the concept for “robin”), but we only briefly addressed the concepts themselves. This chapter focuses on how we represent categories in the real world by forming mental concepts. As we learn about the world, how do we decide which items belong in the same category? This chapter explores how we draw the lines that define categories and how we use mental representations to do other kinds of thinking.
In the last chapter we discussed the structure of language and introduced four levels of analysis. In this chapter we discuss how the process of language comprehension solves problems and resolves ambiguities. We’ll first describe these problems by asking, What makes language processing difficult?
When you are driving and your mind wanders from the song on the radio to the next left turn to what’s for dinner, do you pause in the middle to wonder what makes your mind wander? Probably not. Many people only contemplate how the mind works when their minds let them down. They contemplate memory (“Why can’t I remember the answer to this test question?”), attention (“I want to understand this material, so why can’t I keep my focus on my book and not on my phone?”), and vision (“How could someone think those two colors go well together?”). Questions such as “How does vision work?” seem somewhat interesting, but no more interesting than thousands of other questions about how the world works (How do viruses work? How do cell phones work? How do your lungs work?). These questions become interesting to most people when they consider how the answers might help their own lives.
Of all the cognitive functions your brain performs, vision is both the most remarkable and the most difficult to appreciate. It is difficult to appreciate vision precisely because it is so marvelous; your visual system works so efficiently, so effortlessly, that you have no clue what it is doing or how difficult its task is. Consider this: For decades we’ve had calculators that can perform long division far more quickly and accurately than any human. We also have computer programs that can beat 99 percent of the population in chess. Now, after years of work and millions of dollars spent, we are finally beginning to have computers that are able to recognize faces and drive a car.
This dynamic textbook provides students with a concise and accessible introduction to the fundamentals of modern digital communications systems. Building from first principles, its comprehensive approach equips students with all of the mathematical tools, theoretical knowledge, and practical understanding they need to excel. It equips students with a strong mathematical foundation spanning signals and systems, probability, random variables, and random processes, and introduces students to key concepts in digital information sources, analog-to-digital conversion, digital modulation, power spectra, multi-carrier modulation, and channel coding. It includes over 85 illustrative examples, and more than 270 theoretical and computational end-of-chapter problems, allowing students to connect theory to practice, and is accompanied by downloadable Matlab code, and a digital solutions manual for instructors. Suitable for a single-semester course, this succinct textbook is an ideal introduction to the field of digital communications for senior undergraduate students in electrical engineering.
Channel coding lies at the heart of digital communication and data storage. Fully updated, including a new chapter on polar codes, this detailed introduction describes the core theory of channel coding, decoding algorithms, implementation details, and performance analyses. This new edition includes over 50 new end-of-chapter problems and new figures and worked examples throughout. The authors emphasize the practical approach and present clear information on modern channel codes, including turbo and low-density parity-check (LDPC) codes, detailed coverage of BCH codes, Reed-Solomon codes, convolutional codes, finite geometry codes, product codes as well as polar codes for error correction and detection, providing a one-stop resource for classical and modern coding techniques. Assuming no prior knowledge in the field of channel coding, the opening chapters begin with basic theory to introduce newcomers to the subject. Later chapters then extend to advanced topics such as code ensemble performance analyses and algebraic code design.
Now in an expanded and revised second edition, this book offers clear, penetrating examination of the central questions of ethics through study of the most important ethical theories in Western philosophy. Readers are introduced not only to the main ideas of each theory but also to contemporary developments and defenses of those ideas. Among theories the book covers are egoism, the eudaimonism of Plato and Aristotle, act and rule utilitarianism, modern natural law theory, Kant's moral theory, and existentialist ethics. Two new chapters add to this coverage expositions of Hume's ethics, Sidgwick's program for defending utilitarianism, and Rawls's hypothetical contractarianism. The discussions throughout draw the reader into philosophical inquiry through argument and criticism that illuminate the profundity of the questions under examination. Students will find this book to be a helpful guide to how philosophical inquiry is undertaken as well as to what the major theories of ethics hold.
The study of transport phenomena is an essential part of chemical engineering, as well as other disciplines concerned with material transformations such as biomedical engineering, microfluidics, reactor design and metallurgy. Material transformations require the motion of constituents relative to each other, the transfer of heat across materials and fluid flow. This lucid textbook introduces the student to the fundamentals and applications of transport phenomena in a single volume and explains how the outcomes of transformation processes depend on fluid flow and heat/mass transfer. It demonstrates the progression from physical concepts to the mathematical formulation, followed by the solution techniques for predicting outcomes in industrial applications. The ordering of the topics, gradual build-up of complexity and easy to read language make it a vital resource for anyone looking for an introduction to the domain. It also provides a foundation for advanced courses in fluid mechanics, multiphase flows and turbulence.
Solid Mechanics, as compared to Mechanics of Materials or Strength of Materials, is generally considered to be a higher-level course. It is usually taught in higher semesters to senior undergraduate students. However, there is no suitable textbook on this subject. The book is primarily aimed at this group of students and the text is an attempt to bridge the gap between complex formulations in the theory of elasticity and elementary strength of materials in a simplified manner. The book is intended to present the basics of Solid Mechanics in a simple and concise manner to the initial learners. A large number of solved problems on each topic have been included to illustrate the text materials. Because of the simpler approach adopted in solving difficult problems, the book will be useful for all student groups who wish to learn the basic solid mechanics without much difficulty.
Effective communication is an essential skill all students need to succeed professionally. Based in theory and informed by practice, Communication Skills for Business Professionals takes readers through a range of basic communication concepts and demonstrates how they can be applied in business settings. The third edition has been restructured into three parts, respectively covering understanding communication, communicating in organisations and professional communication strategies in practice. The text has been updated to examine contemporary topics of increasing relevance, including the effects of AI on communication skills, intercultural competencies in business contexts and how to successfully facilitate virtual meetings in a post‒COVID-19 workplace. Each chapter includes short-answer questions, skill-builder activities and margin definitions to cement learning, while the two running case studies provide realistic examples of communication in practice. Communication Skills for Business Professionals remains an indispensable resource for business students wanting to improve their communication skills.