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CognitiveLimitationsAndTheirSolutions

Principle

List limitations, list for each a numbers of potential solutions and provide a framework for PIM implementations to rely on.

Limitations

Ordered by estimated inclusion, from the smaller items to the problem requiring the most components

1. memory
   1. cf discussion on freenode/##pim
   2. http://en.wikipedia.org/wiki/The_Magical_Number_Seven,_Plus_or_Minus_Two
      1. Single neuron binding properties and the magical number 7 by Michele Migliore, Gaspare Novara, Domenico Tegolo, Hippocampus 2008
   3. include consequences on backtracking and thus the risk of diverted attention
2. categorization
   1. cf ML algos
3. decision making
   1. decision making process with simulation limited to 3 variables and 6 transitions, Sources of Power (p72)
   2. http://en.wikipedia.org/wiki/Bounded_rationality
4. correlation ability
   1. hypothesized limitations on large matrices http://fabien.benetou.fr/Slideshows/RencontreAFTParis
5. social
   1. "the upper limit for normal adults is fifth order [reflexive series of levels of intentionality]" (p30) Chapter 2, Why only humans have language, The Prehistory of Language, OUP 2009
   2. http://en.wikipedia.org/wiki/Dunbar's_number

Going further

After listing the classical limitations and their individual solutions, list how they relate to each others then propose a network or even hierarchy of limitations.

To do

1. exploration paths
   1. hard optimization problem until we have a proper model
      1. too many dimensions to handle simultaneously
   2. evo/devo and http://en.wikipedia.org/wiki/Cognitive_development (cf ISC)
2. organize sources
   1. basic concepts
      1. http://en.wikipedia.org/wiki/Metacognition#Metacognitive_strategies
   2. books
      1. Design of Everyday Things
      2. The Humane Interface: New Directions for Designing Interactive Systems
      3. Groundig Cognition refs
      4. Understanding Understanding refs
   3. papers
      1. Cognitive Limitations and Decision Making by Anis Chariri, 1999
   4. labs
      1. http://hci.stanford.edu/software/
   5. journals
      1. Mind, Brain, and Education
   6. confs
      1. Artificial Intelligence in Education (AIED 2011)