One of the many abilities that distinguish a mathematician from an auto-mated deduction system is to be able to offer appropriate expressions based onintuition and experience that are substituted for existentially quantified variablesso as to simplify the problem at hand substantially. We propose to simulate thisability with a technique called genetic programming for use in automated deduc-tion. We apply this approach to problems of combinatory logic. Our experimen-tal results show that the approach is viable and actually produces very promisingresults. A comparison with the renowned theorem prover Otter underlines theachievements.This work was supported by the Deutsche Forschungsgemeinschaft (DFG)
We propose an automated synthesis of Reversible logic (RL) circuits using Darwinian and Lamarckian G...
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms...
This paper presents a study of different methods of using incremental evolution with genetic program...
Most automated reasoning systems rely on human knowledge or heuristics to guide the reasoning or sea...
Using a strongly typed functional programming language for genetic programming has many advantages, ...
Abstract. Most automated reasoning systems rely on human knowl-edge or heuristics to guide the reaso...
This paper shows how genetic programming (GP) can help in finding generalizing Boolean functions whe...
Abslracl-This paper proposes a framework for automati-cally evolving constraint satisfaction algorit...
Formal methods apply algorithms based on mathematical principles to enhance the reliability of syste...
The combinatorial optimization problem always is ubiquitous in various applications and has been pro...
During the last years cartesian genetic programming proved to be a very perspective area of the evol...
This thesis proposes a new representation for genetic algorithms, based on the idea of a genotype to...
Genetic Programming (GP) is a general purpose bio-inspired meta-heuristic for the evolution of compu...
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of c...
Genetic Programming (GP) has shown great effectiveness in fields such as Artificial Life by evolving...
We propose an automated synthesis of Reversible logic (RL) circuits using Darwinian and Lamarckian G...
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms...
This paper presents a study of different methods of using incremental evolution with genetic program...
Most automated reasoning systems rely on human knowledge or heuristics to guide the reasoning or sea...
Using a strongly typed functional programming language for genetic programming has many advantages, ...
Abstract. Most automated reasoning systems rely on human knowl-edge or heuristics to guide the reaso...
This paper shows how genetic programming (GP) can help in finding generalizing Boolean functions whe...
Abslracl-This paper proposes a framework for automati-cally evolving constraint satisfaction algorit...
Formal methods apply algorithms based on mathematical principles to enhance the reliability of syste...
The combinatorial optimization problem always is ubiquitous in various applications and has been pro...
During the last years cartesian genetic programming proved to be a very perspective area of the evol...
This thesis proposes a new representation for genetic algorithms, based on the idea of a genotype to...
Genetic Programming (GP) is a general purpose bio-inspired meta-heuristic for the evolution of compu...
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of c...
Genetic Programming (GP) has shown great effectiveness in fields such as Artificial Life by evolving...
We propose an automated synthesis of Reversible logic (RL) circuits using Darwinian and Lamarckian G...
Genetic Programming is increasing in popularity as the basis for a wide range of learning algorithms...
This paper presents a study of different methods of using incremental evolution with genetic program...