Extending the plan-based paradigm for automated theorem proving, we developed in previous work a declarative approach towards representing methods in a proof planning framework to support their mechanical modification. This paper presents a detailed study of a class of particular methods, embodying variations of a mathematical technique called diagonalization. The purpose of this paper is mainly twofold. First we demonstrate that typical mathematical methods can be represented in our framework in a natural way. Second we illustrate our philosophy of proof planning: besides planning with a fixed repertoire of methods, meta-methods create new methods by modifying e..
In this paper we present a framework for automated learning within mathematical reasoning systems. I...
A lot of the human ability to prove hard mathematical theorems can be ascribedto a problem-specific ...
peer reviewedIn practice, mathematical proofs are most often the result of careful planning by the a...
Extending the planADbased paradigm for auto-mated theorem proving, we developed in previ-ous work a ...
In this article we formally describe a declarative approach for encoding plan operatorsin proof plan...
In this paper we generalize the notion of method for proofplanning. While we adopt the general struc...
We present an empirical study of mathematical proofs by diagonalization, the aim is their mechanizat...
The reasoning power of human-oriented plan-based reasoning systems is primarilyderived from their do...
The reasoning power of human-oriented plan-based reasoning systems is primarily derived from their d...
This paper describes a declarative approach forencoding the plan operators in proof planning,the so-...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...
Proof planning is a powerful technique for theorem proving. Proof plans are descriptions of common p...
AbstractProof planning is a technique for theorem proving which replaces the ultra-efficient but bli...
Proof Planning Proof planning considers mathematical theorems as planning problems. A proof planning...
AbstractKnowledge-based proof planning is a new paradigm in automated theorem proving (ATP) which sw...
In this paper we present a framework for automated learning within mathematical reasoning systems. I...
A lot of the human ability to prove hard mathematical theorems can be ascribedto a problem-specific ...
peer reviewedIn practice, mathematical proofs are most often the result of careful planning by the a...
Extending the planADbased paradigm for auto-mated theorem proving, we developed in previ-ous work a ...
In this article we formally describe a declarative approach for encoding plan operatorsin proof plan...
In this paper we generalize the notion of method for proofplanning. While we adopt the general struc...
We present an empirical study of mathematical proofs by diagonalization, the aim is their mechanizat...
The reasoning power of human-oriented plan-based reasoning systems is primarilyderived from their do...
The reasoning power of human-oriented plan-based reasoning systems is primarily derived from their d...
This paper describes a declarative approach forencoding the plan operators in proof planning,the so-...
Abstract. In this paper we propose how proof planning systems can be extended by an automated learni...
Proof planning is a powerful technique for theorem proving. Proof plans are descriptions of common p...
AbstractProof planning is a technique for theorem proving which replaces the ultra-efficient but bli...
Proof Planning Proof planning considers mathematical theorems as planning problems. A proof planning...
AbstractKnowledge-based proof planning is a new paradigm in automated theorem proving (ATP) which sw...
In this paper we present a framework for automated learning within mathematical reasoning systems. I...
A lot of the human ability to prove hard mathematical theorems can be ascribedto a problem-specific ...
peer reviewedIn practice, mathematical proofs are most often the result of careful planning by the a...