Intelligent problem-solving as integrated hierarchical reinforcement learning
According to cognitive psychology and related disciplines, the development of complex
problem-solving behaviour in biological agents depends on hierarchical cognitive …
problem-solving behaviour in biological agents depends on hierarchical cognitive …
[HTML][HTML] Using ontologies to enhance human understandability of global post-hoc explanations of black-box models
The interest in explainable artificial intelligence has grown strongly in recent years because
of the need to convey safety and trust in the 'how'and 'why'of automated decision-making to …
of the need to convey safety and trust in the 'how'and 'why'of automated decision-making to …
Artificial intelligence, artists, and art: attitudes toward artwork produced by humans vs. artificial intelligence
This study examines how people perceive artwork created by artificial intelligence (AI) and
how presumed knowledge of an artist's identity (Human vs. AI) affects individuals' evaluation …
how presumed knowledge of an artist's identity (Human vs. AI) affects individuals' evaluation …
PopBlends: Strategies for conceptual blending with large language models
Pop culture is an important aspect of communication. On social media people often post pop
culture reference images that connect an event, product or other entity to a pop culture …
culture reference images that connect an event, product or other entity to a pop culture …
Entrepreneurial action, creativity, & judgment in the age of artificial intelligence
The rapid advancement of computationally complex systems of artificial intelligence (AI), is
the fruit of a decades-long effort to endow machines with cognitive capabilities that equal or …
the fruit of a decades-long effort to endow machines with cognitive capabilities that equal or …
A commonsense reasoning framework for explanatory emotion attribution, generation and re-classification
Abstract We present DEGARI (Dynamic Emotion Generator And ReclassIfier), an
explainable system for emotion attribution and recommendation. This system relies on a …
explainable system for emotion attribution and recommendation. This system relies on a …
The embodied crossmodal self forms language and interaction: a computational cognitive review
Human language is inherently embodied and grounded in sensorimotor representations of
the self and the world around it. This suggests that the body schema and ideomotor action …
the self and the world around it. This suggests that the body schema and ideomotor action …
A description logic framework for commonsense conceptual combination integrating typicality, probabilities and cognitive heuristics
We propose a nonmonotonic Description Logic of typicality able to account for the
phenomenon of the combination of prototypical concepts. The proposed logic relies on the …
phenomenon of the combination of prototypical concepts. The proposed logic relies on the …
Trepan reloaded: A knowledge-driven approach to explaining black-box models
Abstract Explainability in Artificial Intelligence has been revived as a topic of active research
by the need to demonstrate safety to users and gain their trust in the 'how'and 'why'of …
by the need to demonstrate safety to users and gain their trust in the 'how'and 'why'of …
Image schema combinations and complex events
Formal knowledge representation struggles to represent the dynamic changes within
complex events in a cognitively plausible way. Image schemas, on the other hand, are …
complex events in a cognitively plausible way. Image schemas, on the other hand, are …