An expert on mind considers how animals and smart machines measure up to human intelligence. Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts, Paul Thagard looks at how computers ("bots") and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines--including Watson, AlphaZero, virtual assistants, and self-driving cars--and the most intelligent animals--including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities.
Intelligence takes many forms. This exciting study explores the novel insight, basedon well-established ethological principles, that animals, humans, and autonomous robots can all beanalyzed as multi-task autonomous control systems.
Dorothy Edith " Dolly " Gill , Mr. John William Bystrom , Mrs. ( Karolina ) Duran y More , Miss . Asuncion Roebling , Mr. Washington Augustus II van Melkebeke , Mr. Philemon Johnson , Master . Harold Theodor Balkic , Mr. Cerin Beckwith ...
... 104–105 Product evaluation, 281–282 Pronoun problems, 122 Proprioception, 209, 211, 218, 233 Proto-objects, 215, 225 Ratio Club, 172–173 Reaching, 188–189, 217, 233–234, 301 Rees, Martin, Lord Rees of Ludlow, 157 Regulation, 161, ...
In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems.
An interdisciplinary overview of current research on imitation in animals andartifacts.
In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues.
Are humans defining technology, or is technology defining humans? In this book, Edward Ashford Lee considers the case that we are less in control of the trajectory of technology than we think.
These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science.
In Awkward Intelligence, AI expert Katharina Zweig offers readers the inside story, explaining how many levers computer and data scientists must pull for AI’s supposedly objective decision making.
Intelligence does not arise only in individual brains; it also arises in groups of individuals. This is collective intelligence: groups of individuals acting collectively in ways that seem intelligent.