Artificial Intelligence
Preface
Artificial intelligence is about natural information processing systems as well as artificial systems, and not just about how they perceive, learn and think, but also about what they want and how they feel. It has already had a profound impact on the study of human minds. The concept of artificial intelligence began with an ambitious research agenda that was to make machines with some of the traits we value most highly in ourselves: the ability to reason, problem solving capacity, creativity and the capability to learn from experience. The field was founded on the claim that a central property of humans, intelligence, can be simulated by a machine. Fifty years later, problem-solving machines are a familiar presence in our daily life.
Artificial intelligence research is highly technical and specialized, deeply divided into subfields. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. This research is also divided by several technical issues. There are subfields which are focused on the solution of specific problems.
According to Hans Moravec, an expert on the subject of intelligent machines,
"By 2050 robot "brains" based on computers that execute 100 trillion instructions per second will start rivaling human intelligence. "I am convinced that the decades-old dream of a useful, general-purpose autonomous robot will be realized in the not too distant future. By 2010 we will see mobile robots as big as people but with cognitive abilities similar in many respects to those of a lizard. The machines will be capable of carrying out simple chores, such as vacuuming, dusting, delivering packages and taking out the garbage. By 2040, I believe, we will finally achieve the original goal of robotics and a thematic mainstay of science fiction: a freely moving machine with the intellectual capabilities of a human being."
Table of Contents
Preface 2
Artificial intelligence is about natural information processing systems as well as artificial systems, and not just about how they perceive, learn and think, but also about what they want and how they feel. It has already had a profound impact on the study of human minds. The concept of artificial intelligence began with an ambitious research agenda that was to make machines with some of the traits we value most highly in ourselves: the ability to reason, problem solving capacity, creativity and the capability to learn from experience. The field was founded on the claim that a central property of humans, intelligence, can be simulated by a machine. Fifty years later, problem-solving machines are a familiar presence in our daily life.
Artificial intelligence research is highly technical and specialized, deeply divided into subfields. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. This research is also divided by several technical issues. There are subfields which are focused on the solution of specific problems.
According to Hans Moravec, an expert on the subject of intelligent machines,
"By 2050 robot "brains" based on computers that execute 100 trillion instructions per second will start rivaling human intelligence. "I am convinced that the decades-old dream of a useful, general-purpose autonomous robot will be realized in the not too distant future. By 2010 we will see mobile robots as big as people but with cognitive abilities similar in many respects to those of a lizard. The machines will be capable of carrying out simple chores, such as vacuuming, dusting, delivering packages and taking out the garbage. By 2040, I believe, we will finally achieve the original goal of robotics and a thematic mainstay of science fiction: a freely moving machine with the intellectual capabilities of a human being."
Table of Contents
Preface 2