Intelligent Agents pgs 2 + 3

• 3 major phases of development in AI research.
1. – formal
   problems (structured with well-defined problem boundaries)
   – emphasis on creating general “thinking machines”
   – sophisticated reasoning + search techniques
2. – recognition that most sucessful AI projects had v. narrow problem domains + encoded specific problem knowledge.
   – specific domain knowledge added to more general reasoning systems led to expert systems.
   – rule-based expert systems (knowledge representations, knowledge engineering, advanced reasoning techniques).
   – computer workstations specifically developed for Lisp, Prolog + Smalltalk apps. -> featured powerful intergrated development environments.
3. -solving: machine vision+ speech, natural language understanding + translation, common sense reasoning, robot control.
   – connectionism (neural networks for data mining, modelling + adaptive control)
   – genetic algorithms
   – alternative logic systems (fuzzy logic)
   – agents that move through network

from here