Laura Martignon
Biographic Data
| ID | 6792637 |
|---|---|
| NAME | Laura Martignon |
| GIVEN NAMES | Laura |
| FAMILY NAME | Martignon |
| SIGNATURE | MARTIGNON L |
| AFFILIATIONS | Ludwigsburg University of Education |
| ORCID | 0000-0002-0318-2327 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Bounded rationality
The notion of “bounded rationality” was introduced by Simon as an appropriate framework for explaining how agents reason and make decisions in accordance with their computational limitations and the characteristics of the environments in which they exist (seen metaphorically as two complementary scissor blades).We elaborate on how bounded rationality is usually conceived in psychology and on its relationship with logic. We focus on the relationsh…
Transparent, simple and robust fast-and-frugal trees and their construction
Today, diagnostic reasoning combines common and specialized knowledge, elements of numeracy, some facility with the basics of probability theory and, last but not least, ease in interactions with AI tools. We present procedures and tools for constructing trees that lead to understandable, transparent, simple, and robust classifications and decisions. These tools are more heuristic than optimal models, inspired by the perspective of Bounded Ration…
Playing Entropy Mastermind can Foster Children’s Information-Theoretical Intuitions
Conceptual descriptions and measures of information and entropy were established in the twentieth century with the emergence of a science of communication and information. Today these concepts have come to pervade modern science and society, and are increasingly being recommended as topics for science and mathematics education. We introduce a set of playful activities aimed at fostering intuitions about entropy and describe a primary school inter…
Study drug use among university students in Western Australia
Democratic societies defeat (Covid-19) disasters by boosting shared knowledge
Preparing people for dealing with hazards, diseases and disasters requires teaching them statistics, and ideally doing so by means of good representation formats in a dynamic fashion. Translating these dynamics to simple communication is what governments need from scientists
Algorithm
Information Theory
Nachhaltigkeit und Gerechtigkeit
Transparent, simple and robust fast-and-frugal trees and their construction
Today, diagnostic reasoning combines common and specialized knowledge, elements of numeracy, some facility with the basics of probability theory and, last but not least, ease in interactions with AI tools. We present procedures and tools for constructing trees that lead to understandable, transparent, simple, and robust classifications and decisions. These tools are more heuristic than optimal models, inspired by the perspective of Bounded Ration…
Nachhaltigkeit und Gerechtigkeit
Algorithm
Information Theory
Playing Entropy Mastermind can Foster Children’s Information-Theoretical Intuitions
Conceptual descriptions and measures of information and entropy were established in the twentieth century with the emergence of a science of communication and information. Today these concepts have come to pervade modern science and society, and are increasingly being recommended as topics for science and mathematics education. We introduce a set of playful activities aimed at fostering intuitions about entropy and describe a primary school inter…
Study drug use among university students in Western Australia
Democratic societies defeat (Covid-19) disasters by boosting shared knowledge
Preparing people for dealing with hazards, diseases and disasters requires teaching them statistics, and ideally doing so by means of good representation formats in a dynamic fashion. Translating these dynamics to simple communication is what governments need from scientists
Transparent, simple and robust fast-and-frugal trees and their construction
Today, diagnostic reasoning combines common and specialized knowledge, elements of numeracy, some facility with the basics of probability theory and, last but not least, ease in interactions with AI tools. We present procedures and tools for constructing trees that lead to understandable, transparent, simple, and robust classifications and decisions. These tools are more heuristic than optimal models, inspired by the perspective of Bounded Ration…
Bounded rationality
The notion of “bounded rationality” was introduced by Simon as an appropriate framework for explaining how agents reason and make decisions in accordance with their computational limitations and the characteristics of the environments in which they exist (seen metaphorically as two complementary scissor blades).We elaborate on how bounded rationality is usually conceived in psychology and on its relationship with logic. We focus on the relationsh…
Computer Science (7 works) · Mathematics (6 works) · Artificial Intelligence (5 works) · Epistemology (3 works) · Bounded function (2 works) · Bounded rationality (2 works) · Cognitive Science and Education Research (2 works) · Heuristic (2 works) · Heuristics (2 works) · Information Theory (2 works)