Different techniques have been introduced for the improvement of Evolutionary Algorithms (EA) to increase their performance as well as to achieve better results. Adaptive methods are commonly used. In the scope of this work these extensions are applied to GeLog, a system which implements a combination of two different approaches for automatic programming: inductive logic programming and genetic...

Reactive programming paradigm successfully overcomes the limitations of observer pattern which has traditionally been used for developing event-driven distributed systems. Due to its declarative style, compositionality and automatic management of dependencies, reactive programming offers a promising new way for building complex distributed data-flow systems. This article outlines some open chal...

This proof of concept study examines the possibility of specifying the construction of programs using a Particle Swarm algorithm, and represents a new form of automatic programming based on Social Learning, Social Programming or Swarm Programming. Each individual particle represents choices of program construction rules, where these rules are specified using a Backus-Naur Form grammar. The resu...

This report describes and evaluates the implementation and applicability of an automatic programming assignment grading system we named the online judge. We compared this with the manual grading system that is currently being used and showed that the automatic grading system, when implemented carefully, is more convenient, fairer, and more secure than the former. We have successfully tested the...

Factory is an extension of Java which provides a template-based reflection mechanism for generative programming. Java classes can be parameterized by types, and the structure of the classes can be described dependent on these type parameters. Factory can address a wide range of applications and save programmers a lot of work. It is designed to integrate seamlessly with Java, to be intuitive for...

The goal of automatic programming is to create, in an automated way, a computer program that enables a computer to solve a problem. Ideally, an automatic programming system should require that the user pre-specify as little as possible about the problem environment. In particular, it is desirable that the user not be required to prespecify the architecture of the ultimate solution to his proble...

11 Abstract Although protocol analysis can be an important tool for researchers to investigate 12 the process of collaboration and communication, the use of this method of analysis can be 13 time consuming. Hence, an automatic coding procedure for coding dialogue acts was 14 developed. This procedure helps to determine the communicative function of messages in 15 online discussions by recognizi...

The goal of automatic programming is to create, in an automated way, a computer program that enables a computer to solve a problem. Ideally, an automatic programming system should require that the user pre-specify as little as possible about the problem environment. In particular, it is desirable that the user not be required to prespecify the architecture of the ultimate solution to his proble...

In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method for automatically generating functions and algorithms through natural selection. In contrast to other learning methods, genetic programming’s automatic programming makes it a natural approach for developing algorithmic...