Birth of intelligence: from RNA to artificial intelligence
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Oxford University Press
[2020]
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | xvi, 214 Seiten Illustrationen 25 cm |
| ISBN: | 9780190908324 |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents Preface Acknowledgments xi xvii Levels of Intelligence What Is Intelligence? Intelligence Without Neurons: Bacteria to Plants How Does a Nervous System Work? Reflexes: Simple Behavior Limitations of Reflexes Connectome Multiple Controllers for Muscles Eye Movements: A Case Study Many Behaviors Are Social 1 2 6 8 11 14 17 18 19 23 Brain and Decision-Making Utility Theory Time and Uncertainty Indecision: Buridans Ass Limitations of the Utility Theory Happiness Utility Theory and the Brain Meaning of Action Potentials Evolution of Utilities 26 27 29 32 32 36 39 41 45 Artificial Intelligence Brain Versus Computer Will Computers Outperform Human Brains? Synapse Versus Transistor Hardware Versus Software AI on Mars Is Sojourner Still Alive? Autonomous AI AI and Utilities Robot Society and Swarm Intelligence 48 50 52 54 56 59 61 62 65 66
viii CONTENTS 4. Self-Replicating Machines Self-Replicating Machines Natural History of Self-Replicating Machines Multitalented Proteins Multicellular Organisms Brain Evolution Evolution and Development 70 73 75 80 83 85 89 5. Brain and Genes Division of Labor and Delegation Principal-Agent Relationship Brain’s Incentive 92 94 98 103 6. Why Learning? Diversity of Learning Classical Conditioning: A Salivating Dog Law of Effect and Instrumental Conditioning: A Curious Cat Instrumental Meets Classical Instrumental and Classical Clash Knowledge: Latent Learning and Place Learning 107 108 111 113 117 120 121 7. Brain for Learning Neurons and Learning Search for the Engram Hippocampus and Basal Ganglia Reinforcement Learning Theory Pleasure Chemical: Dopamine Reinforcement Learning and Knowledge Regret and Orbitofrontal Cortex Regret Neurons 127 128 130 132 135 138 142 145 150 8. Social Intelligence and Altruism Game Theory Death of Game Theory? Iterative Prisoner’s Dilemma Pavlov Strategy Cooperating Society Dark Side of Altruism Predicting the В ehavior ofOthers Recursive Mind 155 157 159 162 164 167 170 173 176
CONTENTS Social Brain Default Cognition: Anthropomorphization 9. Intelligence and Self Paradox of Self-Knowledge Metacognition and Metaselection Cost of Intelligence ЇХ 178 183 186 187 190 194 10. Conclusion: Questions for Artificial Intelligence 201 Index 207
As man-made machines become more powerful and smarter, will their intelligence eventually exceed our own? To accurately predict how the relationship between human and artificial intelligence will change in the future, it is essential to understand the origin and limits of human intelligence. In Birth ofIntelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. Lee reveals how intelligence is the ability of a biological agent to solve complex decision-making problems in diverse and unpredictable environments. Furthermore, understanding how intelligent behavior emerges from interaction among multiple learning systems will provide valuable insights into the ultimate nature of human intelligence.
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| adam_txt |
Contents Preface Acknowledgments xi xvii Levels of Intelligence What Is Intelligence? Intelligence Without Neurons: Bacteria to Plants How Does a Nervous System Work? Reflexes: Simple Behavior Limitations of Reflexes Connectome Multiple Controllers for Muscles Eye Movements: A Case Study Many Behaviors Are Social 1 2 6 8 11 14 17 18 19 23 Brain and Decision-Making Utility Theory Time and Uncertainty Indecision: Buridans Ass Limitations of the Utility Theory Happiness Utility Theory and the Brain Meaning of Action Potentials Evolution of Utilities 26 27 29 32 32 36 39 41 45 Artificial Intelligence Brain Versus Computer Will Computers Outperform Human Brains? Synapse Versus Transistor Hardware Versus Software AI on Mars Is Sojourner Still Alive? Autonomous AI AI and Utilities Robot Society and Swarm Intelligence 48 50 52 54 56 59 61 62 65 66
viii CONTENTS 4. Self-Replicating Machines Self-Replicating Machines Natural History of Self-Replicating Machines Multitalented Proteins Multicellular Organisms Brain Evolution Evolution and Development 70 73 75 80 83 85 89 5. Brain and Genes Division of Labor and Delegation Principal-Agent Relationship Brain’s Incentive 92 94 98 103 6. Why Learning? Diversity of Learning Classical Conditioning: A Salivating Dog Law of Effect and Instrumental Conditioning: A Curious Cat Instrumental Meets Classical Instrumental and Classical Clash Knowledge: Latent Learning and Place Learning 107 108 111 113 117 120 121 7. Brain for Learning Neurons and Learning Search for the Engram Hippocampus and Basal Ganglia Reinforcement Learning Theory Pleasure Chemical: Dopamine Reinforcement Learning and Knowledge Regret and Orbitofrontal Cortex Regret Neurons 127 128 130 132 135 138 142 145 150 8. Social Intelligence and Altruism Game Theory Death of Game Theory? Iterative Prisoner’s Dilemma Pavlov Strategy Cooperating Society Dark Side of Altruism Predicting the В ehavior ofOthers Recursive Mind 155 157 159 162 164 167 170 173 176
CONTENTS Social Brain Default Cognition: Anthropomorphization 9. Intelligence and Self Paradox of Self-Knowledge Metacognition and Metaselection Cost of Intelligence ЇХ 178 183 186 187 190 194 10. Conclusion: Questions for Artificial Intelligence 201 Index 207
As man-made machines become more powerful and smarter, will their intelligence eventually exceed our own? To accurately predict how the relationship between human and artificial intelligence will change in the future, it is essential to understand the origin and limits of human intelligence. In Birth ofIntelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. Lee reveals how intelligence is the ability of a biological agent to solve complex decision-making problems in diverse and unpredictable environments. Furthermore, understanding how intelligent behavior emerges from interaction among multiple learning systems will provide valuable insights into the ultimate nature of human intelligence. |
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| author | Lee, Daeyeol |
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| isbn | 9780190908324 |
| language | English |
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| spelling | Lee, Daeyeol Verfasser (DE-588)1211673146 aut Birth of intelligence from RNA to artificial intelligence Daeyeol Lee New York, NY Oxford University Press [2020] © 2020 xvi, 214 Seiten Illustrationen 25 cm txt rdacontent n rdamedia nc rdacarrier Intelligenz (DE-588)4027251-5 gnd rswk-swf Gehirn (DE-588)4019752-9 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Intellect Brain Artificial intelligence Gehirn (DE-588)4019752-9 s Intelligenz (DE-588)4027251-5 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Erscheint auch als Online-Ausgabe, EPUB 978-0-19-090834-8 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032166594&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032166594&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Lee, Daeyeol Birth of intelligence from RNA to artificial intelligence Intelligenz (DE-588)4027251-5 gnd Gehirn (DE-588)4019752-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
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| title | Birth of intelligence from RNA to artificial intelligence |
| title_auth | Birth of intelligence from RNA to artificial intelligence |
| title_exact_search | Birth of intelligence from RNA to artificial intelligence |
| title_exact_search_txtP | Birth of intelligence from RNA to artificial intelligence |
| title_full | Birth of intelligence from RNA to artificial intelligence Daeyeol Lee |
| title_fullStr | Birth of intelligence from RNA to artificial intelligence Daeyeol Lee |
| title_full_unstemmed | Birth of intelligence from RNA to artificial intelligence Daeyeol Lee |
| title_short | Birth of intelligence |
| title_sort | birth of intelligence from rna to artificial intelligence |
| title_sub | from RNA to artificial intelligence |
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| topic_facet | Intelligenz Gehirn Künstliche Intelligenz |
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