View source for Pattern Recognition

==Full Title or Meme==
[[Pattern Recognition]] is a process of decoding to known patterns or learning for new patterns.

==Context==
*"How many times must a phenomenon occur before it graduates from a coincidence to a pattern?"<ref>Yannis Ioannidis, ''The 5th Paradigm: AI-Driven Scientific Discovery'' '''CACM 67''' No 12  (2024-12) P8</ref>


=== Decoder===

A subsystem which alters the code of information input to it through the input transducer or internal transducer into a "private" code that can be used internally by the system. This may involve consulting an ensemble of signals (or thesaurus) stored in the memory, determining for a Public input the private equivalent, and transmitting the latter. If the public form in which the information enters the system is the same as the private form, this subsystem process need not be carried out. The process is like that of converting in that it changes information, coming from the environment or suprasystem, from its public form to one that can be used privately or internally, and converting does the same thing for matter-energy inputs. But the ways the decoder and the converter carry out their processes are not alike. The input transducer and the internal transducer perform quite different processes from the decoder: the transducer subsystems alter the matter-energy form of the marker; the decoder alters the code in which the information appears.<ref>James Grier Miller ''Living Systems'' 1978 ISBN 978-0070420151</ref>

==Patterns==
===Attack Patterns===

===Dark Patterns===
Deceptive patterns (also known as “dark patterns”) are tricks used in websites and apps that make you do things that you didn't mean to, like buying or signing up for something. For example: Trick wording. Sneaking. Obstruction.<ref>''deceptive patterns'' https://www.deceptive.design/</ref>

===Learning===
* [[Induction]] is the process that leads us to the conclusions we need to stay alive and functioning by the creation of [[Modeling Ecosystems|Models of the Ecosystem]] where the learning [[Entity]] lives.
* Learning needs to avoid what psychologists call [[Apophenia]] - the human tendency to see connections and patterns that are not really there.

==References==

[[Category: User Experience]]