Intelligent Agents pgs 2 + 3
- 3 major phases of development in AI research.
- - formal
problems (structured with well-defined problem boundaries)
- emphasis on creating general “thinking machines”
- sophisticated reasoning + search techniques - - 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. - -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
