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Found 7 papers, 3 papers with code
Modelling prospective memory and resilient situated communications via Wizard of Oz
This abstract presents a scenario for human-robot action in a home setting involving an older adult and a robot.
Designing for Meaningful Human Control in Military Human-Machine Teams
We propose methods for analysis, design, and evaluation of Meaningful Human Control (MHC) for defense technologies from the perspective of military human-machine teaming (HMT).
A Machine with Short-Term, Episodic, and Semantic Memory Systems
Inspired by the cognitive science theory of the explicit human memory systems, we have modeled an agent with short-term, episodic, and semantic memory systems, each of which is modeled with a knowledge graph.
Ranked #1 on
RoomEnv-v1
on RoomEnv-v1
A Machine With Human-Like Memory Systems
Inspired by the cognitive science theory, we explicitly model an agent with both semantic and episodic memory systems, and show that it is better than having just one of the two memory systems.
Ranked #1 on
RoomEnv-v0
on RoomEnv-v0
A Blast From the Past: Personalizing Predictions of Video-Induced Emotions using Personal Memories as Context
A key challenge in the accurate prediction of viewers' emotional responses to video stimuli in real-world applications is accounting for person- and situation-specific variation.
Contrastive Explanations for Reinforcement Learning in terms of Expected Consequences
There is therefore a need for transparency of machine learning models.
Contrastive Explanations with Local Foil Trees
Recent advances in interpretable Machine Learning (iML) and eXplainable AI (XAI) construct explanations based on the importance of features in classification tasks.
Explainable Artificial Intelligence (XAI)
General Classification
+1
