Concurrent Programming: Algorithms, Principles, and Foundations - ReadingSample

Evolutionary Computation 2.1 Conceptual Foundations of Evolutionary Computation

The goal of this chapter is to introduce the key algorithms and theory that constitute the core of Evolutionary computation. The principles and foundations of a basic genetic Algorithm are described in detail. In addition, a separate section discusses extensions to the simple Genetic Algorithm, such as reened crossover, mutation and selection schemes. and real coded representations. The chapter...

Attracted to Conflict: Dynamic Foundations of Destructive Social Relations - ReadingSample

Principles of Eventual Consistency

In globally distributed systems, shared state is never perfect. When communication is neither fast nor reliable, we cannot achieve strong consistency, low latency, and availability at the same time. Unfortunately, abandoning strong consistency has wide ramifications. Eventual consistency, though attractive from a performance viewpoint, is challenging to understand and reason about, both for sys...

Logical , Testing , and Observation Equivalence for Processes in a Linear Logic Programming

Linear logic programming has recently been proposed and shown to be able to integrate a wide range of mechanisms for concurrent computation uniformly in terms of proof search. This paper introduces several process equivalence relations for linear logic programming and investigate relationships between them in order to establish foundations for program transformation in linear logic programming....

Distributed Problem-Solving as Concurrent Theorem Proving

Our principal aim in this paper is to describe how distributed problem solving may fruitfully be viewed as concurrent theorem proving. Not only does this approach provide an expressive representation technique for a range of distributed problem solving algorithms, but its powerful components allow the investigation of algorithms not yet captured within current systems. We begin by introducing a...