Mental models and human reasoning

By Philip N. Johnson-Laird. 2010

544 citations recorded by the source corpus.

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In Artificial Intelligence

Citations in the corpus

On the Binding Problem in Artificial Neural Networks (2020, background): “2 Reliability Structured mental models depend on object representations to provide a stable foundation for reasoning and other types of information processing (Johnson-Laird, 2010).”
Impact of Pretraining Term Frequencies on Few-Shot Reasoning (2022, background): “Reasoning ability has long been considered as a proxy for intelligence (Johnson-Laird, 2010).”
Metacontrol for Adaptive Imagination-Based Optimization (2017, positive): “…rely on rich generative models of the world for planning (Gl¨ascher et al., 2010), control (Wolpert & Kawato, 1998), and reasoning (Hegarty, 2004; Johnson-Laird, 2010; Battaglia et al., 2013), that they adapt the amount of computation they perform with their model to the demands of the task…”
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, background): “human’s ability to understand patterns of behavior, human intentions, macro implications, and ethical responsibilities [28]–[30].”
Policy Gradients Incorporating the Future (2021, background): “Humans appear to do this in a sample efficient manner [17], and so it is natural to expect our own RL agents to do so as well.”
ROOTS: Object-Centric Representation and Rendering of 3D Scenes (2020, background): “y understanding a scene is believed to be crucial in enabling various advanced cognitive functions in human-like AI systems [32] such as reasoning [3], causal inference [42, 38], imagining the future [27, 24, 41], and out-of-distribution generalization [1, 38]. A particularly relevant work in learni”
Reasoning with Language Model is Planning with World Model (2023, background): “Humans possess an internal world model , a mental representation of the environment (Johnson-Laird, 1983, 2010; Gentner and Stevens, 2014), which enables humans to simulate actions and their effects on the world’s state for deliberate planning for complex tasks of motor control, imagery, inference,…”