3 citations · 4 across the 4 of their papers we have counts for
4 papers
Explaining Explaining
Sergei Nirenburg, Marjorie McShane, Kenneth W. Goodman +1
Explanation is key to people having confidence in high-stakes AI systems. However, machine-learning-based systems -- which account for almost all current AI -- can't explain becaus…
HARMONIC: A Framework for Explanatory Cognitive Robots
Sanjay Oruganti, Sergei Nirenburg, Marjorie McShane +3
We present HARMONIC, a framework for implementing cognitive robots that transforms general-purpose robots into trusted teammates capable of complex decision-making, natural communi…
Knowledge Engineering in the Long Game of Artificial Intelligence: The Case of Speech Acts
Marjorie McShane, Jesse English, Sergei Nirenburg
This paper describes principles and practices of knowledge engineering that enable the development of holistic language-endowed intelligent agents that can function across domains…
Language Generation for Broad-Coverage, Explainable Cognitive Systems
Marjorie McShane, Ivan Leon
This paper describes recent progress on natural language generation (NLG) for language-endowed intelligent agents (LEIAs) developed within the OntoAgent cognitive architecture. The…