There is a widespread perception that in conflict situations, more intermediate choices between full peace and total war makes full peace less likely. This view is a motivation for opposing the...
Real-world problems are often too difficult to be solved by a single monolithic system. Many natural and artificial systems use a modular approach to reduce the complexity of a set of subtasks while...
evolutionary computation (EC), genetic diversity (or the lack thereof) gets the credit (or the blame) for a multitude of effects--- and so mutation operators, population initialisation, and even...
Search Landscape of a Realistic Single-Machine Scheduling Task: Peaks with Big Differences (2002)
Some scheduling problems, including the Travelling Salesman Problem (TSP), have a "big valley" search landscape: the best solutions have common building blocks, so crossover works well....
No Free Lunch theorems show that the algorithm must suit the problem. This does not answer the novice's question: for a given problem, which algorithm to use? This paper compares co-evolutionary...
Why more choices cause less cooperation in iterated prisoner’s dilemma (2001)
Iterated Prisoner's Dilemma (IPD) has only 2 choices, cooperate or defect. However, most real-world situations offer intermediate responses, between full cooperation and full defection. Previous...
Why More Choices Cause Less Cooperation in Iterated Prisoner's Dilemma (2001)
This paper demonstrates two mechanisms that sabotage the emergence of full mutual cooperation. First, to increase cooperation requires behavioral (phenotypic) diversity to explore different possible...
most difficult but realistic learning tasks are both noisy and computationally intensive. This paper investigates how, for a given solution representation, coevolutionary learning can achieve the...
Does Extra Genetic Diversity Maintain Escalation in a Co-Evolutionary Arms Race (2000)
In evolutionary computation (EC), genetic diversity (or its absence) gets the credit (or the blame) for a multitude of effects --- and so mutation operators, population initialization, and even...
How important is your reputation in a multi-agent environment (1999)
Most work on the evolutionary approach to the iterated prisoner 's dilemma (IPD) game uses a binary model where the choice of each player can only be cooperation or defection. However, we rarely...
Co-evolutionary learning on noisy tasks (1999)
Paul J. Darwen, Jordan B. Pollack
paper studies the effect of noise on coevolutionary learning, using Backgammon as a typical noisy task. It might seem that co-evolutionary learning would be ill-suited to noisy tasks: genetic drift...
Most efforts at low-cost parallel computing assume a monopoly on the hardware being used. That all-or-nothing attitude ignores many machines dedicated to other activities, but which sit idle for 16...
Most efforts at low-cost parallel computing assume a monopoly on the hardware being used. That all-or-nothing attitude ignores many machines dedicated to other activities, but which sit idle for 16...
Co-evolutionary learning on noisy tasks (1999)
This paper studies the effect of noise on coevolutionary learning, using Backgammon as a typical noisy task. It might seem that co-evolutionary learning would be ill-suited to noisy tasks: genetic...
An experimental study of N-person iterated prisoner's dilemma games (1994)
The Iterated Prisoner's Dilemma game has been used extensively in the study of the evolution of cooperative behaviours in social and biological systems. There have been a lot of experimental...
An Experimental Study of N-Person Iterated Prisoner's Dilemma Games (1994)
The Iterated Prisoner's Dilemma game has been used extensively in the study of the evolution of cooperative behaviours in social and biological systems. There have been a lot of experimental...
An experimental study of N-person iterated prisoner's dilemma games (1994)
Abstract. The Iterated Prisoner’s Dilemma game has been used extensively in the study of the evolution of cooperative behaviours in social and biological systems. There have been a lot of...