Artificial Cognition Architectures by James Crowder, Visit Amazon's John N. Carbone Page, search

By James Crowder, Visit Amazon's John N. Carbone Page, search results, Learn about Author Central, John N. Carbone, , Shelli Friess

The aim of this e-book is to set up the basis, ideas, thought, and ideas which are the spine of genuine, independent synthetic Intelligence. offered listed below are a few simple human intelligence thoughts framed for synthetic Intelligence platforms. those comprise recommendations like Metacognition and Metamemory, in addition to architectural constructs for man made Intelligence types of human mind features just like the prefrontal cortex. additionally provided are attainable and software program architectures that lend themselves to studying, reasoning, and self-evolution

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3 Self-Evolving, Cognitrons: The Heart of the SELF S C I External Portal Data/InformaƟon and Command Inputs C P D SoluƟon and Interface Repository S P D SoluƟon Domain Se I S I S I S New EvoluƟonary SoluƟon Approaches and Commands New Clones Se C S Se Spawned Memories S P R Hypothesis 1 Se I R Hypothesis 3 Se I R Se I D D D P D E P D P E M D E Hypothesis 2 P D Output Completed Problems R SoluƟon Discovery or Refinement Req. SoluƟon EvoluƟon for AcƟve Problems M E E P D D Repository of unsolved problems to process in the evoluƟonary mode, in the background EvoluƟon Domain Cognitrons: P: Problem D: data S: SoluƟon I: Interface R: Report Se: Search C: Command M: Message E: EmoƟon (Delayed) Completed Problems Fig.

The collaborative outcome is a solution where all parties can agree on the final solution [147]. Typically collaboration happens because an individual cannot accomplish the same goal alone. It is more than an association relationship it is more like a partnership. So what is required for humans and robots, machines, to have a partnership? Likely, many of the same things as previously discussed; a sense of predictability, safety, reliability, trust, communication, knowledge, understanding, and accommodation just to name a few.

One example is a machine that assists as a scrubnurse. Just the thought of a SELF assisting in any surgery implies a huge amount of trust particularly if ultimately allowed to perform surgery autonomously. Suzuki, Pan, Harashima, and Furuta [201] stated: “…knowledge and human psychology cannot be written sufficiently by computer algorithms; hence, the present intelligent mechatronics cannot understand the human perfectly”. Later in the book we discuss the concepts and challenges with training a synthetically engineered evolving life form and vice versa using the process Human Mentored Software (HMS) [86], and Human Interaction Learning (HIL) [85].

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