33 citations · 37 across the 10 of their papers we have counts for
12 papers
Consciousness in Artificial Intelligence? A Framework for Classifying Objections and Constraints
Andres Campero, Derek Shiller, Jaan Aru +1
We develop a taxonomical framework for classifying challenges to the possibility of consciousness in digital artificial intelligence systems. This framework allows us to identify t…
From DDMs to DNNs: Using process data and models of decision-making to improve human-AI interactions
Mrugsen Nagsen Gopnarayan, Jaan Aru, Sebastian Gluth
Over the past decades, cognitive neuroscientists and behavioral economists have recognized the value of describing the process of decision making in detail and modeling the emergen…
The feasibility of artificial consciousness through the lens of neuroscience
Jaan Aru, Matthew Larkum, James M. Shine
Interactions with large language models have led to the suggestion that these models may soon be conscious. From the perspective of neuroscience, this position is difficult to defe…
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Jaan Aru, Aqeel Labash, Oriol Corcoll +1
Theory of Mind is an essential ability of humans to infer the mental states of others. Here we provide a coherent summary of the potential, current progress, and problems of deep l…
Perspective Taking in Deep Reinforcement Learning Agents
Aqeel Labash, Jaan Aru, Tambet Matiisen +2
Perspective taking is the ability to take the point of view of another agent. This skill is not unique to humans as it is also displayed by other animals like chimpanzees. It is an…
APES: a Python toolbox for simulating reinforcement learning environments
Aqeel Labash, Ardi Tampuu, Tambet Matiisen +2
Assisted by neural networks, reinforcement learning agents have been able to solve increasingly complex tasks over the last years. The simulation environment in which the agents in…
Do deep reinforcement learning agents model intentions?
Tambet Matiisen, Aqeel Labash, Daniel Majoral +2
Inferring other agents' mental states such as their knowledge, beliefs and intentions is thought to be essential for effective interactions with other agents. Recently, multiagent…
What deep learning can tell us about higher cognitive functions like mindreading?
Jaan Aru, Raul Vicente
Can deep learning (DL) guide our understanding of computations happening in biological brain? We will first briefly consider how DL has contributed to the research on visual object…
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Ardi Tampuu, Tambet Matiisen, Dorian Kodelja +5
Multiagent systems appear in most social, economical, and political situations. In the present work we extend the Deep Q-Learning Network architecture proposed by Google DeepMind t…
Change Blindness in 3D Virtual Reality
Madis Vasser, Markus Kängsepp, Jaan Aru
In the present change blindness study subjects explored stereoscopic three dimensional (3D) environments through a virtual reality (VR) headset. A novel method that tracked the sub…
Personality cannot be predicted from the power of resting state EEG
Kristjan Korjus, Andero Uusberg, Helen Uibo +5
In the present study we asked whether it is possible to decode personality traits from resting state EEG data. EEG was recorded from a large sample of subjects (N = 309) who had an…
General markers of conscious visual perception and their timing
Renate Rutiku, Jaan Aru, Talis Bachmann
The goal of the present investigation was to identify reliable markers of conscious visual perception and to characterize their onset latency and its variability. To that end many…