The result of a conference on language and related cognitive processes in animals, this book brings together scientists working on language and communication, reviews research done on language in apes and dolphins, and places this work in a larger perspective of animal communication and cognition. The conference convened an international group of distinguished scientists interested in exploring the neurological, cognitive, social, and behavioral aspects of communication in animals. A broad spectrum of perspectives was represented, including naturalistic investigations of animals in their natural habitat as well as strictly controlled laboratory investigations. Similarly, a broad range of species was described including rats, parrots, monkeys, apes, dolphins, and humans. New methodologies and perspectives are continuously emerging that allow consideration of issues that previously could not be resolved. Emerging technology such as video equipment and advanced database systems allow one to exhaustively record in an accessible format the evidence on which scientific conclusions must be based. Investigation of animal language and communication is a small, but vigorously exciting area of scientific investigation as the chapters in this volume clearly attest.

The result of a conference on language and related cognitive processes in animals, this book brings together scientists working on language and communication, reviews research done on language in apes and dolphins, and places this work in a larger perspective of animal communication and cognition. The conference convened an international group of distinguished scientists interested in exploring the neurological, cognitive, social, and behavioral aspects of communication in animals. A broad spectrum of perspectives was represented, including naturalistic investigations of animals in their natural habitat as well as strictly controlled laboratory investigations. Similarly, a broad range of species was described including rats, parrots, monkeys, apes, dolphins, and humans.
New methodologies and perspectives are continuously emerging that allow consideration of issues that previously could not be resolved. Emerging technology such as video equipment and advanced database systems allow one to exhaustively record in an accessible format the evidence on which scientific conclusions must be based. Investigation of animal language and communication is a small, but vigorously exciting area of scientific investigation as the chapters in this volume clearly attest.

Why a new approach is needed in the quest for general artificial intelligence.Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated--with such achievements as driverless cars and humanless chess-playing--computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices--finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.