#nickszabo

The Ultimate Guide to Smart Contracts

Smart Contractswere planned in 1994 by Nick Szabo, a Computer Scientist, a cryptographer who invented a virtual currency referred to as “Bit Gold” in 1998, fully ten years before the invention of Bitcoin. In fact, Szabo is usually rumored to be the important Satoshi Nakamoto, the anonymous inventor of Bitcoin that he has denied.  Basically Smart Contracts assist you exchange cash, property,…

Recently developed and developing technology, often called "the block chain", is starting to change this. A block chain computer is a virtual computer, a computer in the cloud, shared across many traditional computers and protected by cryptography and consensus technology. A Turing-complete block chain with large state gives us this shared computer. Earlier efforts included state-machine replication (see list of papers linked below).  QuixCoin is a recent and Ethereum is a current project that has implemented such a scheme. These block chain computers will allow us to put the most crucial parts of our online protocols on a far more reliable and secure footing, and make possible fiduciary interactions that we previously dared not do on a global network  

Computers make possible the running of algorithms heretofore prohibitively costly, and networks the quicker transmission of larger and more sophisticated messages. Furthermore, computer scientists and cryptographers have recently discovered many new and quite interesting algorithms. Combining these messages and algorithms makes possible a wide variety of new protocols. These protocols, running on public networks such as the Internet, both challenge and enable us to formalize and secure new kinds of relationships in this new environment, just as contract law, business forms, and accounting controls have long formalized and secured business relationships in the paper-based world.

In electronic commerce so far, the design criteria important for automating contract execution have come from disparate fields like economics and cryptography, with little cross-communication: little awareness of the technology on the one hand, and little awareness of its best business uses other. These efforts are striving after common objectives, and converge on the concept of smart contracts [1].

Evolutionary psychology starts with a key mathematical discovery of John Maynard Smith[D89]. Using models of populations of co-evolving genes, from the well-developed area of population genetics, Smith posited genes that can code for strategies, good or bad, used in simple strategic problems (the "games" of game theory). Smith proved that these genes, competing to be propagated into future generations, will evolve strategies that are Nash equilbria to the strategic problems presented by the competition. These games include the prisoner's dilemma, a prototypical problem of cooperation, and hawk/dove, a prototypical problem of aggression and its mitigation.

Critical to Smith's theory is that these strategic games, while played out between phenotypes proximately, are in fact games between genes the ultimate level – the level of competition to be propagated. The genes – not necessarily the individuals – influence behavior as if they were boundedly rational (coding for strategies as optimal as possible, within the limits of what phenotypes can express given the biological raw materials and previous evolutionary history) and "selfish" (to use Richard Dawkins' metaphor). Genetic influences on behavior are adaptations to the social problems presented by genes competing through their phenotypes. Smith called these evolved Nash equilibria evolutionary stable strategies.