1. Human / Machine Learning (Vl10/11)
1.1. Human Learning
1.1.1. Konditionierung
1.1.1.1. Ivan Pavlov
1.1.1.1.1. Pavlovsche Hund
1.1.1.1.2. US
1.1.1.1.3. CS
1.1.1.2. Skinne Box
1.1.1.3. Operant Conditioning
1.1.1.3.1. positive Verstärkung positive reinforcement
1.1.1.3.2. Negative Verstärkung (negative reinforcement)
1.1.1.3.3. Positive Bestrafung positive punishment
1.1.1.3.4. Negative Bestrafung (negative punishment)
1.1.1.4. Biofeedback
1.1.2. Cognitive Learning Theory
1.1.3. Connectionism / learning in the brain
1.1.3.1. Hebb's law (1949)
1.1.3.2. Hebbian Learning
1.1.4. Lernen im Gehirn
1.1.4.1. Hebb's Law
1.1.4.2. "What wires together fires together"
1.1.4.3. synaptische Plastizität
1.2. traditional vs. socially guided ML
1.2.1. goal oriented
1.2.2. transparent learning
1.2.3. just-in-time correction
1.3. Learning in ACT-R
1.3.1. creation of chunks (declarative knowlege)
1.3.2. creation of production rules (procedual knowlege)
1.3.3. base activation
1.3.4. utility