29 research outputs found
Visuelle Objekterkennung als kognitive Simulation
No full textMoratz R. Visuelle Objekterkennung als kognitive Simulation. Dissertationen zur künstlichen Intelligenz ; Bd. 174. Sankt Augustin: Infix; 1997
Controlling Multiple Neural Nets with Semantic Networks
No full textMoratz R, Posch S, Sagerer G. Controlling Multiple Neural Nets with Semantic Networks. In: Proceedings 16. DAGM-Symposium. 1994: 288-295
Integration von Bild- und Sprachverstehen in einer kognitiven Architektur
No full textHildebrandt B, Moratz R, Rickheit G, Sagerer G. Integration von Bild- und Sprachverstehen in einer kognitiven Architektur. Kognitionswissenschaft. 1995;4:118-128
Representing Procedural Knowledge for Semantic Networks using Neural Nets
No full textMoratz R, Heidemann G, Posch S, Ritter H, Sagerer G. Representing Procedural Knowledge for Semantic Networks using Neural Nets. In: Proc. 9th Scandinavian Conference on Image Processing. 1995: 819-828
Selective Visual Perception Driven by Cues from Speech Processing
No full textMoratz R, Eikmeyer H-J, Hildebrandt B, et al. Selective Visual Perception Driven by Cues from Speech Processing. In: 7th Portuguese Conference on AI, EPIA95, Workshop on Applications of AI to Robotics and Vision Systems. Funchal, Madeira Island, Portugal: Trans Tech Publications Ltd.; 1995: 63-72
Integrating Speech and Selective Visual Perception Using a Semantic Network
No full textMoratz R, Eikmeyer H-J, Hildebrandt B, Kummert F, Rickheit G, Sagerer G. Integrating Speech and Selective Visual Perception Using a Semantic Network. In: AAAI-95 Fall Symposium on Computational Models for Integrating Language and Vision (AAAI-LV-95). AAAI; 1995: 44-49
How do decision time and realism affect map-based decision making?
No full textWe commonly make decisions based on different kinds of maps, and under varying time constraints. The accuracy of these decisions often can decide even over life and death. In this study, we investigate how varying time constraints and different map types can influence people’s visuo-spatial decision making, specifically for a complex slope detection task involving three spatial dimensions. We find that participants’ response accuracy and response confidence do not decrease linearly, as hypothesized, when given less response time. Assessing collected responses within the signal detection theory framework, we find that different inference error types occur with different map types. Finally, we replicate previous findings suggesting that while people might prefer more realistic looking maps, they do not necessarily perform better with them
Spatio-temporal Evolution as Bigraph Dynamics
No full textWe present a novel approach to modelling the evolution of spatial entities over time by using bigraphs. We use the links in a bigraph to represent the sharing of a common ancestor and the places in a bigraph to represent spatial nesting as usual. We provide bigraphical reaction rules that are able to model situations such as two crowds of people merging together while still keeping track of the resulting crowd's historical links
