Monica Anderson, MSc

Monica Anderson, MSc is the founder of Syntience.
 
Syntience Inc. is developing a novel document understanding algorithm which starts from the idea that language comprehension in humans is based more on intuition than logic. Logic has its place, but is a surprisingly cumbersome tool for solving everyday problems in “logic-unfriendly” situations such as planning for and execution of walking, running, and other movement, for problem solving in complex real-world environments, and for natural language understanding and generation.
 
Artificial Intuition is straightforward to implement in computers. It could become a component of future Artificial Intelligence systems, and may well become a standalone alternative to logic based AI in many application domains.
 
In the short and medium term, Syntience expects Artificial Intuition based approaches to surpass state of the art document understanding algorithms for dozens of economically important applications, such as

• Web search, especially “Semantic Search”
• Web page quality evaluation
• Document classification and clustering
• Speech Recognition
• Machine Translation
• Dialog based systems

Monica earned her Master’s degree in Computer Science from Linköping University in Sweden, and has been working in Silicon Valley for many years and is a US citizen. She has created three expert systems for Cisco Systems for product configuration verification; she has co-designed systems to automatically classify documents by content; she has (co-)designed and/or (co-)written LISP interpreters, debuggers, chat systems, OCR output parsers, visualization tools, operating system kernels, MIDI control real-time systems for music, virtual worlds, and peer-to-peer distributed database systems.
 
She was Manager of Systems Support for Schlumberger Palo Alto Research. She has worked with robotics, industrial control, marine, and other kinds of embedded systems. She has worked on improving the quality of web searches for Google. She wrote a Genetic Algorithm which successfully generated solutions for the Set Coverage Problem (which has been shown to be NP-hard) around 1994. She has used more than a dozen programming languages professionally and designed or co-designed at least four programming languages, large or small. English is her third human language out of four or five.
 
Watch Bizarre Systems and Artificial Intuition – Monica Anderson. Read Prediction, Bizarre Domains, Intuition vs. Logic, Absurd vs. Possible, and The Tradeoff. Read her LinkedIn profile and her blog.