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Artificial
Intelligence II
By Julián Escobar
Fundamentals of artificial intelligence
Philosophy
Mathematics
Economics
Neuroscience
Psicology
Computer
engineering
Control
theory
and
cybernetics
Linguistics
Rationalism, dualism,
materialism,
empiricism, induction,
logical positivism,
confirmation theory
Incompletness
theorem.
Computable
functions,
tractability,
probability
behaviorism,
cognitive
psychology.
Cognitive science
Homeostatic
devices, objective
functions
Decision theory,
game theory,
operations research
Neurons,brain
research,
singularities
Natural language
processing.
Knowledge
representation
Operational
computer,
programmable
computer,
software
Similarities and differences between AI
techniques and human cognition?
AI Techniques Human Cognition
Learning
Process large amounts of data.
Involve processing.
Process large amounts of data. Involve processing
Creativity
Produce new content, but often
lacks originality.
Capable of generating new ideas or blend them.
Extrapolate beyond what they've been taught.
Adaptability
Designed for a specific task or
finite subset of tasks.
Adaptable and can switch between tasks.
Social Interaction Lacks social skills and cannot
interpret emotions.
Social creatures.
Contextual
Understanding
Pattern recognition. Limited by its
its programmed knowledge and
lacks intuition.
Pattern recognition. Understand complex situations
situations using their intuition and context clues.
Ethics
Can be programmed with ethical
rules, but lacks moral judgment.
Sense of morality and can make ethical decisions
based on a complex array of factors

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Presentación2.pptx

  • 2. Fundamentals of artificial intelligence Philosophy Mathematics Economics Neuroscience Psicology Computer engineering Control theory and cybernetics Linguistics Rationalism, dualism, materialism, empiricism, induction, logical positivism, confirmation theory Incompletness theorem. Computable functions, tractability, probability behaviorism, cognitive psychology. Cognitive science Homeostatic devices, objective functions Decision theory, game theory, operations research Neurons,brain research, singularities Natural language processing. Knowledge representation Operational computer, programmable computer, software
  • 3. Similarities and differences between AI techniques and human cognition? AI Techniques Human Cognition Learning Process large amounts of data. Involve processing. Process large amounts of data. Involve processing Creativity Produce new content, but often lacks originality. Capable of generating new ideas or blend them. Extrapolate beyond what they've been taught. Adaptability Designed for a specific task or finite subset of tasks. Adaptable and can switch between tasks. Social Interaction Lacks social skills and cannot interpret emotions. Social creatures. Contextual Understanding Pattern recognition. Limited by its its programmed knowledge and lacks intuition. Pattern recognition. Understand complex situations situations using their intuition and context clues. Ethics Can be programmed with ethical rules, but lacks moral judgment. Sense of morality and can make ethical decisions based on a complex array of factors