Results 281 to 290 of about 4,744,312 (322)

Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Networks: An Active Inference Approach

IEEE Vehicular Technology Conference, 2023
As the research and applications of large language model (LLM) become increasingly sophisticated, it is difficult for resource-limited mobile terminals to run large-model inference tasks efficiently.
Jingcheng Fang   +4 more
semanticscholar   +1 more source

Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning

IEEE Robotics and Automation Letters, 2023
Task and Motion Planning (TAMP) has made strides in complex manipulation tasks, yet the execution robustness of the planned solutions remains overlooked.
Yuezhe Zhang   +5 more
semanticscholar   +1 more source

From active affordance to active inference: vertical integration of cognition in the cerebral cortex through dual subcortical control systems.

Cerebral Cortex, 2023
In previous papers, we proposed that the dorsal attention system's top-down control is regulated by the dorsal division of the limbic system, providing a feedforward or impulsive form of control generating expectancies during active inference.
P. Luu, Don M. Tucker, Karl Friston
semanticscholar   +1 more source

Blind Image Quality Assessment With Active Inference

IEEE Transactions on Image Processing, 2021
Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising idea to design BIQA methods by mimicking the working mechanism of human visual system (HVS). The internal generative mechanism (IGM) indicates that the HVS actively
Jupo Ma   +6 more
semanticscholar   +1 more source

Active Inference and Intentional Behaviour

arXiv.org, 2023
Recent advances in theoretical biology suggest that basal cognition and sentient behaviour are emergent properties of in vitro cell cultures and neuronal networks, respectively.
Karl J. Friston   +12 more
semanticscholar   +1 more source

Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach

IEEE Transactions on Mobile Computing
With the increasing popularity and demands for large language model applications on mobile devices, it is difficult for resource-limited mobile terminals to run large-model inference tasks efficiently.
Ying He, Jingcheng Fang, F. Yu, V. Leung
semanticscholar   +1 more source

Active Inference as a Model of Agency

arXiv.org
Is there a canonical way to think of agency beyond reward maximisation? In this paper, we show that any type of behaviour complying with physically sound assumptions about how macroscopic biological agents interact with the world canonically integrates ...
Lancelot Da Costa   +3 more
semanticscholar   +1 more source

Predictive Inference Activation

Swiss Journal of Psychology, 2012
Predictive inferences are anticipations of what could happen next in the text we are reading. These inferences seem to be activated during reading, but a delay is necessary for their construction. To determine the length of this delay, we first used a classical word-naming task.
Doriane Gras   +2 more
openaire   +1 more source

Social Active Inference

2021
The free energy principle and its corollary, active inference, were introduced by Karl Friston as an explanation embodied perception and action in neuroscience, and since, it has been used to address many other issues in different fields mainly related to cognitive science like learning, optimal decision, or interpersonal inference.
openaire   +3 more sources

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