Search results for "SIM"
showing 10 items of 10139 documents
A Formalism Supplementing Cognitive Semantics Based on Mereology
2007
ABSTRACT This paper is motivated by and aims to supplement Cognitive Semantics. Details of this latter prominent approach within contemporary linguistic research will not be discussed here. Rather, we focus on a formalization of the concept of Gestalt and provide a formal semantics that can be used to interpret a certain formal language (LM 0) with respect to a universe of structured wholes (Gestalts). Since a great deal of the analyses of linguistic organization that has been provided by Cognitive Semantics since the mid-1970s is based on the concept of Gestalt, the semantics unfolded in the following may be viewed as an attempt to provide a starting point for supplementing the yet informa…
Control Structures in Motivational Psychology
1996
Abstract Motivational processes in psychology have been interpreted from many different viewpoints. In the general case, they present an information feedback structure, with goals and disturbances, in a similar way most control systems behave. In this contribution, this similarity is analysed and examples of motivational processes corresponding to the most common control system structures are given. This comparison will be fruitful from both sides: to explore a new field of control theory application and to provide a new framework to the analysis of these complex processes.
Implicit learning and statistical learning: one phenomenon, two approaches.
2006
The domain-general learning mechanisms elicited in incidental learning situations are of potential interest in many research fields, including language acquisition, object knowledge formation and motor learning. They have been the focus of studies on implicit learning for nearly 40 years. Stemming from a different research tradition, studies on statistical learning carried out in the past 10 years after the seminal studies by Saffran and collaborators, appear to be closely related, and the similarity between the two approaches is strengthened further by their recent evolution. However, implicit learning and statistical learning research favor different interpretations, focusing on the forma…
Linguistic Therapy of Evaluation and the Assimilation Model
2014
This theoretical article examines possible points of convergence between the assimilation model and linguistic therapy of evaluation (LTE), insofar as the former describes the process of change and the latter, as a form of cognitive therapy, considers the therapeutic conditions that facilitate it. In particular, the argument focuses first on why a voice becomes problematic from a LTE conceptualization. Second, the article explains how the therapeutic aims of LTE could contribute to a linguistic perspective on the assimilation model, focusing on how a dialogue between voices in the self could occur. Finally, the article will include a theoretical review of the assimilation stage of insight, …
A musical reading of a contemporary installation and back: mathematical investigations of patterns in Qwalala
2021
Mathematical music theory helps us investigate musical compositions in mathematical terms. Some hints can be extended towards the visual arts. Mathematical approaches can also help formalize a "translation" from the visual domain to the auditory one and vice versa. Thus, a visual artwork can be mathematically investigated, then translated into music. The final, refined musical rendition can be compared to the initial visual idea. Can an artistic idea be preserved through these changes of media? Can a non-trivial pattern be envisaged in an artwork, and then still be identified after the change of medium? Here, we consider a contemporary installation and an ensemble musical piece derived from…
Imitation Learning and Anchoring through Conceptual Spaces
2007
In order to have a robotic system able to effectively learn by imitation and not merely reproduce the movements of a human teacher, the system should have the capability to deeply understand the perceived actions to be imitated. This paper deals with the development of a cognitive architecture for learning by imitation in which a rich conceptual representation of the observed actions is built. The purpose of the following discussion is to show how the same conceptual representation can be used both in a bottom-up approach, in order to learn sequences of actions by imitation learning paradigm, and in a top-down approach, in order to anchor the symbolical representations to the perceptual act…
Scientific and Design Stances
2010
Human technology interaction is a strange field of expertise, because both academics and industry are interested in it. And yet, every now and then, it becomes apparent that academics and industry do not always see eye to eye (Carroll, 1997). They seem to think in different manner. While scientists look for how things are, industry mostly seeks out how things should be. Indeed, sometimes two very different stances behind the basic thinking of the two important human–technology interaction (HTI) communities surface. Scientists primarily are interested in general laws and principles, even eternal truths with no exceptions. They want to identify general laws and use them to explain individual …
FlyMove – a new way to look at development of Drosophila
2003
Development of any organism requires a complex interplay of genes to orchestrate the many movements needed to build up an embryo. Previously, work on Drosophila melanogaster has provided important insights that are often applicable in other systems. But developmental processes, which take place in space and time, are difficult to convey in textbooks. Here, we introduce FlyMove (http://flymove.uni-muenster.de), a new database combining movies, animated schemata, interactive "modules" and pictures that will greatly facilitate the understanding of Drosophila development.
How to engineer biologically inspired cognitive architectures
2013
Biologically inspired cognitive architectures are complex systems where different modules of cognition interact in order to reach the global goals of the system in a changing environment. Engineering and modeling this kind of systems is a hard task due to the lack of techniques for developing and implementing features like learning, knowledge, experience, memory, adaptivity in an inter-modular fashion. We propose a new concept of intelligent agent as abstraction for developing biologically cognitive architectures. © 2013 Springer-Verlag.
Swarming Models for Facilitating Collaborative Decisions
2010
The paper highlights the computational power of swarming models (i.e., stigmergic mechanisms) to build collaborative support systems for complex cognitive tasks such as facilitation of group decision processes (GDP) in e-meetings. Unlike traditional approaches that minimize the cognitive complexity by incorporating the facilitation knowledge into the system, stigmergic coordination mechanisms minimize the complexity by providing the system with emergent functionalities that are shaped by the environment itself through the possibility to structure it in terms of high-level cognitive artefacts. This is illustrated by conducting a socio-simulation experiment for an envisioned collaborative sof…