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Birth of intelligence : from RNA to artificial intelligence / Daeyeol Lee.
- Format:
- Book
- Author/Creator:
- Lee, Daeyeol, author.
- Language:
- English
- Subjects (All):
- Intellect.
- Brain.
- Artificial intelligence.
- Physical Description:
- 1 online resource (xvi, 214 pages)
- polychrome
- Place of Publication:
- New York, NY : Oxford University Press, [2020]
- System Details:
- text file
- Contents:
- 1 Levels of Intelligence p. 1
- What Is Intelligence? p. 2
- Intelligence Without Neurons: Bacteria to Plants p. 6
- How Does a Nervous System Work? p. 8
- Reflexes: Simple Behavior p. 11
- Limitations of Reflexes p. 14
- Connectome p. 17
- Multiple Controllers for Muscles p. 18
- Eye Movements: A Case Study p. 19
- Many Behaviors Are Social p. 23
- 2 Brain and Decision-Making p. 26
- Utility Theory p. 27
- Time and Uncertainty p. 29
- Indecision: Buridan's Ass p. 32
- Limitations of the Utility Theory p. 32
- Happiness p. 36
- Utility Theory and the Brain p. 39
- Meaning of Action Potentials p. 41
- Evolution of Utilities p. 45
- 3 Artificial Intelligence p. 48
- Brain Versus Computer p. 50
- Will Computers Outperform Human Brains? p. 52
- Synapse Versus Transistor p. 54
- Hardware Versus Software p. 56
- AI on Mars p. 59
- Is Sojourner Still Alive? p. 61
- Autonomous AI p. 62
- AI and Utilities p. 65
- Robot Society and Swarm Intelligence p. 66
- 4 Self-Replicating Machines p. 70
- Self-Replicating Machines p. 73
- Natural History of Self-Replicating Machines p. 75
- Multitalented Proteins p. 80
- Multicellular Organisms p. 83
- Brain Evolution p. 85
- Evolution and Development p. 89
- 5 Brain and Genes p. 92
- Division of Labor and Delegation p. 94
- Principal-Agent Relationship p. 98
- Brain's Incentive p. 103
- 6 Why Learning? p. 107
- Diversity of Learning p. 108
- Classical Conditioning: A Salivating Dog p. 111
- Law of Effect and Instrumental Conditioning: A Curious Cat p. 113
- Instrumental Meets Classical p. 117
- Instrumental and Classical Clash p. 120
- Knowledge: Latent Learning and Place Learning p. 121
- 7 Brain for Learning p. 127
- Neurons and Learning p. 128
- Search for the Engram p. 130
- Hippocampus and Basal Ganglia p. 132
- Reinforcement Learning Theory p. 135
- Pleasure Chemical: Dopamine p. 138
- Reinforcement Learning and Knowledge p. 142
- Regret and Orbitofrontal Cortex p. 145
- Regret Neurons p. 150
- 8 Social Intelligence and Altruism p. 155
- Game Theory p. 157
- Death of Game Theory? p. 159
- Iterative Prisoner's Dilemma p. 162
- Pavlov Strategy p. 164
- Cooperating Society p. 167
- Dark Side of Altruism p. 170
- Predicting the Behavior of Others p. 173
- Recursive Mind p. 176
- Social Brain p. 178
- Default Cognition: Anthropomorphization p. 183
- 9 Intelligence and Self p. 186
- Paradox of Self-Knowledge p. 187
- Metacognition and Metaselection p. 190
- Cost of Intelligence p. 194
- 10 Conclusion: Questions for Artificial Intelligence p. 201.
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Ipswich, MA Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on April 06, 2020).
- Other Format:
- Print version: Lee, Daeyeol. Birth of intelligence
- ISBN:
- 9780190908348
- 0190908343
- 9780190908331
- 0190908335
- Publisher Number:
- 99984244478
- Access Restriction:
- Restricted for use by site license.
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