In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
To support rapid software evolution, it is desirable to construct software systems from reusable components. In this approach, the architecture of a system is described as a collec...
This article introduces a new theory of intention representation which is based1 on a structure called a Dynamic Intention Structure (DIS). The theory of DISs was motivated2 by the...
Hierarchical modularity is a familiar characteristic of a large class of natural dynamical systems. A normal interpretation of modularity is that interactions between subsystems a...
Baldwin's classic hypothesis states that behavioral plasticity can speed evolution by (a) smoothing the fitness landscape and (b) indirect genetic assimilation of acquired cha...