[图书][B] Constructionist approaches: Past, present, future

T Ungerer, S Hartmann - 2023 - cambridge.org
Summary Construction Grammar (CxG) has developed into a broad and highly diverse
family of approaches that have in common that they see constructions, ie form-meaning …

[HTML][HTML] A computational framework for conceptual blending

M Eppe, E Maclean, R Confalonieri, O Kutz… - Artificial Intelligence, 2018 - Elsevier
We present a computational framework for conceptual blending, a concept invention method
that is advocated in cognitive science as a fundamental and uniquely human engine for …

The FCG Editor: An innovative environment for engineering computational construction grammars

R van Trijp, K Beuls, P Van Eecke - PLoS One, 2022 - journals.plos.org
Since its inception in the mid-eighties, the field of construction grammar has been steadily
growing and constructionist approaches to language have by now become a mainstream …

Sensorimotor representation learning for an “active self” in robots: a model survey

PDH Nguyen, YK Georgie, E Kayhan, M Eppe… - KI-Künstliche …, 2021 - Springer
Safe human-robot interactions require robots to be able to learn how to behave
appropriately in spaces populated by people and thus to cope with the challenges posed by …

Grounding language for interactive task learning

P Lindes, A Mininger, JR Kirk… - Proceedings of the First …, 2017 - aclanthology.org
This paper describes how language is grounded by a comprehension system called Lucia
within a robotic agent called Rosie that can manipulate objects and navigate indoors. The …

Constructing Meaning, Piece by Piece: A Computational Cognitive Model of Human Sentence Comprehension

P Lindes - 2022 - deepblue.lib.umich.edu
AI systems with language for robots don't try to model human processing. Psycholinguistic
models of human language processing don't have operational computational models. To …

[图书][B] Agents in the Long Game of AI: Computational cognitive modeling for trustworthy, hybrid AI

M Mcshane, S Nirenburg, J English - 2024 - books.google.com
A novel approach to hybrid AI aimed at developing trustworthy agent collaborators. The vast
majority of current AI relies wholly on machine learning (ML). However, the past thirty years …

Combining deep learning for visuomotor coordination with object identification to realize a high-level interface for robot object-picking

M Eppe, M Kerzel, S Griffiths, HG Ng… - 2017 IEEE-RAS 17th …, 2017 - ieeexplore.ieee.org
We present a proof of concept to show how a deep network for end-to-end visuomotor
learning to grasp is coupled with an attention focus mechanism for state-of-the-art object …

[PDF][PDF] Grammar scaling: Leveraging FrameNet data to increase embodied construction grammar coverage

EK Dodge, S Trott, L Gilardi, E Stickles - 2017 AAAI Spring Symposium …, 2017 - cdn.aaai.org
Construction grammars are commonly written by hand. This is not only time and resource
intensive, but also limits the potential for applications that need to extract accurate and deep …

[PDF][PDF] Cognitive modeling approaches to language comprehension using construction grammar

P Lindes, JE Laird - 2017 aaai spring symposium series, 2017 - cdn.aaai.org
This paper examines the relationship between modeling human sentence comprehension
using cognitive architectures and approaches to linguistic knowledge representation using …