91 research outputs found
Moral Dilemmas for Artificial Intelligence: a position paper on an application of Compositional Quantum Cognition
Traditionally, the way one evaluates the performance of an Artificial
Intelligence (AI) system is via a comparison to human performance in specific
tasks, treating humans as a reference for high-level cognition. However, these
comparisons leave out important features of human intelligence: the capability
to transfer knowledge and make complex decisions based on emotional and
rational reasoning. These decisions are influenced by current inferences as
well as prior experiences, making the decision process strongly subjective and
apparently biased. In this context, a definition of compositional intelligence
is necessary to incorporate these features in future AI tests. Here, a concrete
implementation of this will be suggested, using recent developments in quantum
cognition, natural language and compositional meaning of sentences, thanks to
categorical compositional models of meaning.Comment: 15 pages, 3 figures, Conference paper at Quantum Interaction 2018,
Nice, France. Published in Lecture Notes in Computer Science, vol 11690,
Springer, Cham. Online ISBN 978-3-030-35895-
Time Markers and Temporal Illusions
Peer reviewe
The cognitive integration of scientific instruments: Information, situated cognition, and scientific practice
Researchers in the biological and biomedical sciences, particularly those working in laboratories, use a variety of artifacts to help them perform their cognitive tasks. This paper analyses the relationship between researchers and cognitive artifacts in terms of integration. It first distinguishes different categories of cognitive artifacts used in biological practice on the basis of their informational properties. This results in a novel classification of scientific instruments, conducive to an analysis of the cognitive interactions between researchers and artifacts. It then uses a multidimensional framework in line with complementarity-based extended and distributed cognition theory to conceptualize how deeply instruments in different informational categories are integrated into the cognitive systems of their users. The paper concludes that the degree of integration depends on various factors, including the amount of informational malleability, the intensity and kind of information flow between agent and artifact, the trustworthiness of the information, the procedural and informational transparency, and the degree of individualisation
Dimensions of integration in embedded and extended cognitive systems
The complementary properties and functions of cognitive artifacts and other external resources are integrated into the human cognitive system to varying degrees. The goal of this paper is to develop some of the tools to conceptualize this complementary integration between agents and artifacts. It does so by proposing a multidimensional framework, including the dimensions of information flow, reliability, durability, trust, procedural transparency, informational transparency, individualization, and transformation. The proposed dimensions are all matters of degree and jointly they constitute a multidimensional space in which situated cognitive systems can be located and have certain dimensional configurations. These dimensions provide a new perspective on the conditions for cognitive extension. They are, however, not meant to provide a set of necessary and sufficient conditions, but to provide a toolbox for investigating the degree and nature of the integration of agent and artifact into ânew systemic wholesâ. The higher a situated system scores on the proposed dimensions, the more functional integration occurs, and the more tightly coupled the system is.22 page(s
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