This chapter describes a motivated learning (ML) method that advances model building and learning techniques required for intelligent systems. Motivated learning addresses critical limitations of reinforcement learning (RL), the more common approach to coordinating a machine’s interaction with an unknown environment. RL maximizes the external reward by approximating multidimensional value funct...

A system for morphing the warmth of a sound independently from its other timbral attributes was coded, building on previous work morphing brightness only (1), and morphing brightness and softness (2). The new warmth-softnessbrightness morpher was perceptually validated using a series of listening tests. A Multidimensional Scaling analysis of listener responses to paired-comparisons showed perce...

Social behaviour arises as a result of individual agents cooperating with each other so as to exploit the resources available in a rich and dynamic multi-agent domain. If agents are to make use of others to help them in their tasks, such social behaviour is critical. Underlying this cooperation is the transfer or adoption of goals from one agent to another, a subtle and complex process that dep...

A large part of current research into autonomous control is concerned with building agents that can perform useful functions in real-world domains. Consequently, the behaviour of the system must be exible; the behaviour of an agent must reeect changes in context. This position paper is concerned with the use of motivation as a control mechanism in goal and action selection within an artiicial s...

The knot nomenclature in common use, summarized in Rolfsen's knot table [Rolfsen (1990) Knots and Links, American Mathematical Society], was not originally designed to distinguish between mirror images. This ambiguity is particularly inconvenient when studying knotted biopolymers such as DNA and proteins, since their chirality is often significant. In the present article, we propose a biologica...

This paper discusses efficient solutions to large-scale two-dimensional estimation problems, using reducedstate methods motivated by the multipole method of mathematical physics. The work is mainly exploratory, building on past efforts in multiscale statistical signal modeling and estimation. We will illustrate applications to the estimation of Markov random field textures, with the motivation ...

It is proposed that motivation may affect reasoning through reliance on a biased set of cognitive processes--that is, strategies for accessing, constructing, and evaluating beliefs. The motivation to be accurate enhances use of those beliefs and strategies that are considered most appropriate, whereas the motivation to arrive at particular conclusions enhances use of those that are considered m...