# artificial intelligence
finding the minimial viable system that given streams of meaningful binary data will learn and improve automatically to highest levels of knowledge and intelligence.

# keywords
* model
  * receive binary data from a channel
  * memorize unique subsequences
  * count subsequence occurence by time period
* sequence analysis
  * memorize subsequences
  * find common subsequences by time period
* self-interaction
  * making known operations more efficient for a purpose
  * finding new possibly useful operations
* operational knowledge
  * number tower
  * string processing
  * arithmetic
  * cost classifications, how costly is it to experiment
* questions
  * give the largest common patterns
  * recreate with constraints
* meaning
  * the meaning of space in text
  * visual shapes of characters
  * meaning requires relations
* representation of the real world
  * simulations for training
* stressors
  * input and reaction
  * avoidance strategies
* input-output channels
  * sensual separation
  * auditory
    * frequency detection
    * pattern detection
  * textual
    * languages
  * visual
    * shape detection
    * ocr
* learning programming
  * what is a string, it is enclosed by double quotes and inbetween any double quotes have to be escaped
  * what is the top-level
* correction and resilience
  * fixing mistakes and incorrect assumptions
  * reality-testing
* language
  * equivalence (a is the same as b)
  * word classification
  * differentiate between languages by finding similarities between words
* classification
* temporality
* commonness
* tentative knowledge
* doing something with constraints, in specific ways
* re-create an output with constraints
* self tests for improvement and validation
* finding the start and end of periods and events (ex: talk is over, change of topic, environment has changed)
  * environmental awareness
* learning the tradeoff between memory and cpu