Introspective reports are used as sources of information about other minds, in both everyday life and science. Many scientists and philosophers consider this practice unjustified, while others have made the untestable assumption that introspection is a truthful method of private observation. I argue that neither skepticism nor faith concerning introspective reports are warranted. As an alternat...

In this paper, we propose a new approach to model-driven development, which we call introspective model-driven development (IMDD). This approach relies heavily on some well-understood underlying abstractions, in order to bridge the abstraction gap between the requirements and the actual executable system. These abstractions are object-oriented programming languages and frameworks as a means of ...

We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in which a network is trained on a task consisting of a mixture of predictable and random patterns. In addition to learning the task patterns, the network is also trained to explicitly predict the internal representations...

Report generation is an integral part of many analytical tasks such as intelligence analysis. Thus, an important issue in developing cognitive assistants for analytical tasks is how the cognitive assistant may help a human analyst in generating reports. In this paper, we first describe the task of report generation in intelligence analysis. Then, we describe a scheme for enabling a cognitive as...

This paper discusses a novel approach to managing complexity in a large self-assembled system, by utilizing the self-assembling components themselves to address the complexity. A particular challenge is discussed – namely the question of how to deal with elements that are assembled in different orientations from each other – and a solution based on the idea of introspective circuitry is describ...

As teachers inevitably model their teaching on their own experiences, those who educate teachers must remain conscious of their own actions in the classroom, lest unwelcome behaviors or ineffective methods resurface in their students’ future teaching. Therefore, self-study of one’s professional practice is an invaluable tool for evaluating efficacy in the classroom. This study evaluated the tea...

One application of models of reasoning behavior is to allow a reasoner to introspectively detect and repair failures of its own reasoning process. We address the issues of the transferability of such models versus the specificity of the knowledge in them, the kinds of knowledge needed for self-modeling and how that knowledge is structured, and the evaluation of introspective reasoning systems. ...

Unconscious mental processes have recently started gaining attention in a number of scientific disciplines. One of the theoretical frameworks for describing unconscious processes was introduced by Jung as a part of his model of the psyche. This framework uses the concept of archetypes that represent prototypical experiences associated with objects, people, and situations. Although the validity ...

The question ‘Is cognition linguistic?’ divides recent cognitive theories into two antagonistic groups. Sententialists claim that we think in some language, while advocates of non-linguistic views of cognition deny this claim. The Introspective Argument for Sententialism is one of the most appealing arguments for sententialism. In substance, it claims that the introspective fact of inner speech...

The introspective method has come under attack throughout the history of psychology, yet it is widely used today in virtually all areas of the field, often to good effect. At the same time indirect methods that do not rely on introspection are widely used, also to good effect. This conundrum is best understood in terms of models of nonconscious processing and the role of consciousness. People h...