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AIMA4e Annotations
A companion to the great white brick.
As of November 22, 2022
(Start date: November 21, 2022.)
[1]retraice.com
PREFACE
The discipline: artificial intelligence "the study of agents that receive percepts from the environment and perform actions." (vii)
Aspects of the phenomenon:
I INTELLIGENCE --"Artificial Intelligence"
1 Intro:
definitions, foundations, history, philosophy, state of the art, risks-benefits
2 Agents:
environments, `good' behavior, agent structure and types
II SOLVING--"Problem-solving"
3 Searching:
looking ahead to find a sequence:
algorithms, strategies, informed/heuristic strategies
4 Complex environments:
more realistic environments:
local search, optimization, continuous spaces, nondeterministic actions, partially observable env.s, online search and unknown env.s
5 Adversarial games:
other agents competing against us:
theory, optimal decisions, alpha-beta tree search, Monte Carlo tree search, stochastic g.s, partially observable g.s, limitations
6 Constraint satisfaction problems:
states as domains, solutions as allowable combinations of states
constraint propagation, inference, backtracking search, local search, structure of problems
III THINKING--"Knowledge, reasoning, and planning"
7 algorithms to answer any 1st-order logic question
IV UNCERTAINTY--"Uncertain knowledge and reasoning"
V LEARNING--"Machine learning"
VI INTERACTING--"Communicating, perceiving, and acting"
VII CONCLUSIONS--"Conclusions"
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References