Problem Solving systems customarily use backtracking to deal with obstacles that they encounter in the course of trying to solve a problem. This paper outlines an approach in which the possible obstacles are investigated prior to the search for a solution. This provides a solution strategy that avoids backtracking
I show how backtracking can be discovered naturally without using a recursive function (nor using a ...
AbstractThe ideas of intelligent backtracking (IB) and explanation-based learning (EBL) have develop...
This paper proposes a general framework for imple-menting backtracking search strategies in Proposit...
wikipedia1: Backtracking is a general algorithm for finding all (or some) solutions to some computat...
This paper is concerned with state space problem solvers that achieve generality by learning strong...
Constructing computer programs that solve problems (and puzzles) is central to the field of Artifici...
Problem is something that we can never get rid of, how much we try and howmany anticipatory actions ...
AbstractThe performance of backtracking algorithms for solving finite-domain constraint satisfaction...
George Polya\u27s seminal work How to Solve it describes general methods for approaching and solvi...
A method is presented that causes A * to return high quality solutions while solving a set of proble...
International audienceConstraint programming is a popular paradigm to deal with combinatorial proble...
In this paper we attempt to develop a problem representation technique which enables the decompositi...
In this paper we propose a technique for learning efficient strategies for solving a certain class o...
This paper studies a special kind of Constraint Satisfaction Problem (CSP) related to a case of reso...
The so-called ’Pólya’s method’ is now the canonical way of teaching mathematical problem solving. We...
I show how backtracking can be discovered naturally without using a recursive function (nor using a ...
AbstractThe ideas of intelligent backtracking (IB) and explanation-based learning (EBL) have develop...
This paper proposes a general framework for imple-menting backtracking search strategies in Proposit...
wikipedia1: Backtracking is a general algorithm for finding all (or some) solutions to some computat...
This paper is concerned with state space problem solvers that achieve generality by learning strong...
Constructing computer programs that solve problems (and puzzles) is central to the field of Artifici...
Problem is something that we can never get rid of, how much we try and howmany anticipatory actions ...
AbstractThe performance of backtracking algorithms for solving finite-domain constraint satisfaction...
George Polya\u27s seminal work How to Solve it describes general methods for approaching and solvi...
A method is presented that causes A * to return high quality solutions while solving a set of proble...
International audienceConstraint programming is a popular paradigm to deal with combinatorial proble...
In this paper we attempt to develop a problem representation technique which enables the decompositi...
In this paper we propose a technique for learning efficient strategies for solving a certain class o...
This paper studies a special kind of Constraint Satisfaction Problem (CSP) related to a case of reso...
The so-called ’Pólya’s method’ is now the canonical way of teaching mathematical problem solving. We...
I show how backtracking can be discovered naturally without using a recursive function (nor using a ...
AbstractThe ideas of intelligent backtracking (IB) and explanation-based learning (EBL) have develop...
This paper proposes a general framework for imple-menting backtracking search strategies in Proposit...