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
