A neural network model of curiosity-driven categorization

Infants are curious learners who drive their own cognitive development by imposing structure on their learning environments as they explore. Understanding the mechanisms underlying this curiosity is therefore critical to our understanding of development. However, very few studies have examined the role of curiosity in infants’ learning, and in particular, their categorization; what structure infants impose on their own environment and how this affects learning is therefore unclear. The results of studies in which the learning environment is structured a priori are contradictory: while some suggest that complexity optimizes learning, others suggest that minimal complexity is optimal, and still others report a Goldilocks effect by which intermediate difficulty is best. We used an autoencoder network to capture empirical data in which 10-month old infants’ categorization was supported by maximal complexity [1]. When we allowed the same model to choose stimulus sequences based on a “curiosity” metric which took into account the model’s internal states as well as stimulus features, categorization was better than selection based solely on stimulus characteristics. The sequences of stimuli chosen by the model in the curiosity condition showed a Goldilocks effect with intermediate complexity. This study provides the first computational investigation of curiosity-based categorization, and points to the importance characterizing development as emerging from the relationship between the learner and its environment

Variety Steering Concept for Mass Customization

In this paper we make the distinction between subjective and objective customer needs. The subjective needs are the individually realized and articulated requirements, whereas the objective needs are the real ones perceived by a fictive neutral perspective. We show that variety in mass customization has to be orientated on the objective needs. In order to help mass customizers better evaluate the degree to which they can fulfill the objective needs as well as their internal complexity level we have developed a key metrics system model. We also present a conceptual application showing how to use this model to support decision making related to the introduction or reduction of product variants

Land Virtues

This article has two goals. First, I explore some of the descriptive and normative shortcomings of traditional law and economics discussions of the ownership and use of land. These market-centered approaches struggle in different ways with features of land that distinguish it from other commodities. The complexity of land - its intrinsic complexity, but even more importantly the complex ways in which human beings interact with it - undermines the notion that owners will focus on a single value, such as wealth, in making decisions about their land. Adding to the equation land\u27s memory, by which I mean the combined impact of the durability of land uses and the finite quantity of land, calls into question the normative assessment that owners whose behavior is guided by a unitary measure like market value are using their land wisely, or at least more wisely than other modes of decision-making might hope to accomplish. The shortcomings of traditional law and economics theories of land use point toward the benefits of a pluralist theory of property based on the Aristotelian tradition of virtue ethics. Setting forth the broad outlines of such a theory as it applies to the law of land use is the second goal of this article. Virtue theory, I will argue, is capable of incorporating the valuable insights that have made economic analysis so appealing to land use theorists without distorting our moral vision or treating economic consequences as the only considerations that ought to matter

Clarifying care : elaborating and expanding the care ethic

The debate over women\u27s ways of knowing has been contentious and growing since Carol Gillgian\u27s groundbreaking bookIn aDifferent Voice, which established a contrast between the care ethic(associated with women)and the justice ethic(associated with men). The dissertation explores the care/justice distinction,taking the investigation to a new level by providing a model that explores the perspectives according to a number of criteria organized according to a conceptual-theoretical dimension and also a dimension of praxis. The concepts of universal rights and principles are analyzed in relation to the ethics,leading to the conclusion that care can incorporate them into its ideology without thereby appealing to the justice ethic or hybridizing with it.Two well-known theories of care,Nel Noddings\u27(1984)and Joan Tronto\u27s(1993)are examined according to the two-dimensional modelI develop. The end result is a fusion of the views into a comprehensive theoretical perspective with applications in both the personal and political spheres. The traditional image,then,of care as a mothering tool limited to the dynamic of family and friends is replaced by an ethical view of care that places women\u27s ways of knowing firmly in the arena of business, politics, and other large-scale areas of moral concern

From Biological to Synthetic Neurorobotics Approaches to Understanding the Structure Essential to Consciousness (Part 2)

We have been left with a big challenge, to articulate consciousness and also to prove it in an artificial agent against a biological standard. After introducing Boltuc’s h-consciousness in the last paper, we briefly reviewed some salient neurology in order to sketch less of a standard than a series of targets for artificial consciousness, “most-consciousness” and “myth-consciousness.” With these targets on the horizon, we began reviewing the research program pursued by Jun Tani and colleagues in the isolation of the formal dynamics essential to either. In this paper, we describe in detail Tani’s research program, in order to make the clearest case for artificial consciousness in these systems. In the next paper, the third in the series, we will return to Boltuc’s naturalistic non-reductionism in light of the neurorobotics models introduced (alongside some others), and evaluate them more completely