Kristian Kersting
Biographic Data
| ID | 1938524 |
|---|---|
| NAME | Kristian Kersting |
| GIVEN NAMES | Kristian |
| FAMILY NAME | Kersting |
| SIGNATURE | KERSTING K |
| AFFILIATIONS | Technische Universität Darmstadt |
| ORCID | 0000-0002-2873-9152 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Problem Solving Through Human–AI Preference-based Cooperation
While there is a widespread belief that artificial general intelligence—or even superhuman AI—is imminent, complex problems in expert domains are far from being solved. We argue that such problems require human–AI cooperation and that the current state of the art in generative AI is unable to play the role of a reliable partner due to a multitude of shortcomings, including difficulty in keeping track of a complex solution artifact (e.g., a softwa…
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes
Internet memes are a pervasive phenomenon on the social Web. They typically consist of viral catch phrases, images, or videos that spread through instant messaging, (micro) blogs, forums, and social networking sites. Due to their popularity and proliferation, Internet memes attract interest in areas as diverse as marketing, sociology, or computer science and have been dubbed a new form of communication or artistic expression. In this paper, we ex…
Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes
Internet memes are a pervasive phenomenon on the social Web. They typically consist of viral catch phrases, images, or videos that spread through instant messaging, (micro) blogs, forums, and social networking sites. Due to their popularity and proliferation, Internet memes attract interest in areas as diverse as marketing, sociology, or computer science and have been dubbed a new form of communication or artistic expression. In this paper, we ex…
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes
Internet memes are a pervasive phenomenon on the social Web. They typically consist of viral catch phrases, images, or videos that spread through instant messaging, (micro) blogs, forums, and social networking sites. Due to their popularity and proliferation, Internet memes attract interest in areas as diverse as marketing, sociology, or computer science and have been dubbed a new form of communication or artistic expression. In this paper, we ex…
Modelling dataset bias in machine-learned theories of economic decision-making
Normative and descriptive models have long vied to explain and predict human risky choices, such as those between goods or gambles. A recent study reported the discovery of a new, more accurate model of human decision-making by training neural networks on a new online large-scale dataset, choices13k. Here we systematically analyse the relationships between several models and datasets using machine-learning methods and find evidence for dataset bi…
Problem Solving Through Human–AI Preference-based Cooperation
While there is a widespread belief that artificial general intelligence—or even superhuman AI—is imminent, complex problems in expert domains are far from being solved. We argue that such problems require human–AI cooperation and that the current state of the art in generative AI is unable to play the role of a reliable partner due to a multitude of shortcomings, including difficulty in keeping track of a complex solution artifact (e.g., a softwa…
Computer Science (3 works) · Artificial Intelligence (2 works) · Evolutionary Game Theory and Cooperation (2 works) · Psychology (2 works) · Artificial neural network (1 work) · Cognitive science (1 work) · Cognitive Science and Mapping (1 work) · Complex Network Analysis Techniques (1 work) · Complex Systems and Decision Making (1 work) · Complex Systems and Time Series Analysis (1 work)