Humans depart from optimal computational models of interactive ...

Using artificial intelligence to fit, compare, evaluate, and discover ...

Theory of mind from observation in cognitive models and humans ... Artificial neural networks for model identification and parameter estimation in computational ...

Interactive cognitive maps support flexible behavior under threat

We use computational modeling to uncover the computational mechanisms that enable humans to avoid dynamic threats in complex virtual ...

The role of Humans in the Development of Next Generation AI - arXiv

Observation of such biological phenomenon could be extremely useful and inspire us to design and train computational models that would have ...

Cognitive Modeling for Cognitive Engineering (Chapter 21)

... optimal sequence required to achieve the current informational goal. Second, they ... Contributions to engineering models of human-computer interaction.

Computational Behavior Lab – We study computational models of ...

We study computational models of human behavior and their applications in interactive computing systems. ... optimal within the confines of human-like ...

Computational Dissection of Dopamine Motor and Motivational ...

Computational Dissection of Dopamine Motor and Motivational Functions in Humans ... optimal model (Rigoux and Guigon, 2012). More importantly, the ...

Computational methods in education - UCL Discovery

On the face of it, this is not an optimal solution for a ... models' socio-emotional and behavioural credibility in human-computer interaction and of.

Computational neuroscience approaches to social cognition

active social interaction and value-based learning. Bayesian models may further reveal whether people update impressions in an optimal manner [4,6,7,41] ...

Computational Models for Clinical Applications in Personalized ...

Molecular interaction maps (MIMs) are static models that depict the ... In essence, computational models must go through a process of peer review ...

14 Computational Model of Human Routine Behaviours

Abstract. Computational Interaction enables a future in which user interfaces (UI) learn about people's behaviours by observing them and interacting with t.

State-of-the-art and future directions - Christian P. Janssen's

Computational models of human-automated vehicle interaction offer ... b Institute of Psychology and Education, Department of Human Factors.

The promise of a model-based psychiatry: building computational ...

Such models of neuronal populations can then be used to go beyond ... (C) Computational modelling of drawing behaviour revealed that humans ...

Individual and team profiling to support theory of mind in artificial ...

Humans depart from optimal computational models of interactive decision-making during competition under partial information. Article Open ...

A brief survey on user modelling in HCI

Index Terms—User Model, Human Computer Interaction, Cognitive Model. 1 INTRODUCTION. “Our ultimate objective is to make programs that learn from their ...

A Review of Cell-Based Computational Modeling in Cancer Biology

Norton et al built a 3D CA model to examine the interaction between triple-negative breast cancer and stromal cells. Stem cells proliferated and ...

Computational Modelling: Technological Futures - GOV.UK

For models of humans or human populations, we become interested in the ... elegant models with optimal solutions where no one can be made better off ...

Computational Cognitive Science Lab - Publications

Comparing Abstraction in Humans and Large Language Models ... Resource-rational analysis: Understanding human cognition as the optimal use of limited ...

Interplay between computational models and cognitive ... - Kutas Lab

To understand how the human brain reads is to under- stand the essence and order of the neurocognitive computa- tions by which the different ...

A Competition of Critics in Human Decision-Making

Computational models capture risk-sensitivity by weighing positive prediction errors differently than negative prediction errors, usually accomplished with ...

Transforming Human Interaction with Data Using Large Language ...

During model training and subsequent tokenization, the optimal ... Neural network models are computational models inspired by the human brain.