Year: 2022

"GENETIC PROGRAMMING (GP) is method for automatically creating computer programs. It starts from a high-level statement of what needs to be done and uses the Darwinian principle of natural selection to breed a population of improving programs over many generations." Not what it sounds like. https://lnkd.in/dhwv8HE View in LinkedIn

ECOSYSTEMS. "Genetic programming, autonomous agents, artificial life and evolutionary computation share many common ideas. They generally investigate distributed complex processes, perhaps with the ability to interact." https://lnkd.in/dBswHTH View in LinkedIn

"THE GENETIC ALGORITHM is a model of machine learning which derives its behavior from a metaphor of some of the mechanisms of evolution in nature. This is done by the creation within a machine of a population of individuals represented by chromosomes, in essence a set of character strings that are analogous to the base-4 chromosomes that we see in our own DNA. The individuals in the population then go through a process of simulated "evolution"." https://lnkd.in/dNx-Znv View in LinkedIn

COADAPTATION. "This paper introduces and demonstrates a novel brain-machine interface architecture based on the concepts of reinforcement learning, coadaptation, and shaping... reinforcement learning allows the brain-machine interface control algorithm to learn to complete tasks from interactions with the environment, rather than an explicit training signal. Coadaption enables continuous, synergistic adaptation between the brain-machine interface control algorithm and brain-machine interface user working in changing environments." https://lnkd.in/dstCTe2 View in LinkedIn

CHROMOSOME ANALOGUES. "We can implement this genetic model of computation by having arrays of bits or characters to represent the chromosomes. Simple bit manipulation operations allow the implementation of crossover, mutation and other operations." http://www6.uniovi.es/ftp/pub/EC/FAQ/www/Q1_1.htm View in LinkedIn

FIXED STRINGS. "Although a substantial amount of research has been performed on variable-length strings and other structures, the majority of work with genetic algorithms is focussed on fixed-length character strings." http://www6.uniovi.es/ftp/pub/EC/FAQ/www/Q1_1.htm View in LinkedIn

FREE WILL. "Meta-Genetic Programming is the proposed meta learning technique of evolving a genetic programming system using genetic programming itself. It suggests that chromosomes, crossover, and mutation were themselves evolved, therefore like their real life counterparts should be allowed to change on their own rather than being determined by a human programmer." https://en.m.wikipedia.org/wiki/Genetic_programming View in LinkedIn

DIGITAL BIOTA. "The forms of digital biota emerging in Cyberspace. Much of these biota are actually pretty simple mathematical rule sets that mimic living processes. But perhaps real life is just an matter of the scale of complexity. As these simple forms grow into more complex systems feeding off computer resources and our attention spans, perhaps we will some day see something really "alive" and really digital." https://lnkd.in/d8s-JuN View in LinkedIn

RANDOMLY MUTATING. "But is not genetic programming stochastic by nature? Although it operates on algorithms, it does not find these algorithms through its own algorithms--it finds them by randomly mutating and genetically crossing other patterns." https://lnkd.in/etiQ6T7 View in LinkedIn

HUMAN LIMITS. "The idea that we cannot produce living organisms from our own imaginations is both humbling to the pomposity of our egos, but it is also somewhat distressing. Humans, it seems, can do anything--from creating rockets which launch into space, to cloning the organisms on our planet, to power of creating incredibly powerful weapons which devastate our own kind." https://lnkd.in/etiQ6T7 View in LinkedIn