• 1. Introduction
  • 2. Milestones in Artificial Intelligence
  • 3. Knowledge Acquisition by MaxEnt
  • 4. Explorative Density Approximation
  • 4.1. Nonparametric Density Approximation
  • 4.2. Mimetic Hyperbolic Kernel Function
  • 4.3. Efficiency of the Hyperbolic Kernel Function
  • 5. Maximum Entropy and Boundary Conditions
  • 5.1. Lagrange-Method for Constrained Optimization
  • 5.2. Uniform and Normal Distribution Example
  • 6. Maximum Entropy Density Approximation ofIncome under Constraints
  • 7. Conclusions
  • References