Representation, space and Hollywood Squares: Looking at things that aren't there anymore [PDF]
It has been argued that the human cognitive system is capable of using spatial indexes or oculomotor coordinates to relieve working memory load (Ballard, Hayhoe, Pook & Rao, 1997) track multiple moving items through occlusion (Scholl & Pylyshyn, 1999) or
Richardson, Daniel, Spivey, Michael
core +2 more sources
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Converging creativity through semantic processing
Creativity, the ability to engage in abstract thought, novel idea production and concept construction, along with artefacts transcending everyday experience, has long been recognized as a defining feature of human cognition. Creativity has typically been
Pauli Laine +3 more
doaj +1 more source
Autobiographically Significant Concepts: More Episodic than Semantic in Nature? An Electrophysiological Investigation of Overlapping Types of Memory [PDF]
A common assertion is that semantic memory emerges from episodic memory, shedding the distinctive contexts associated with episodes over time and/or repeated instances.
Campbell, Kenneth +6 more
core +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Trade-off of cognition and semantic communication for UAV-IRS enhanced intelligent networks
This paper investigates the trade-off between cognition and semantic communication in a wideband cognitive radio (CR) semantic communication system, where an intelligent reflecting surface (IRS) mounted on an unmanned aerial vehicle (UAV) enhances ...
Yuwei Zhang, Pengshan Ren
doaj +1 more source
An Introduction to ‘Inner Cognition’ Strategy as A Research Approach for the Semantic Aspects of Architecture [PDF]
Prior to the prominence of modern sciences, people adopted various approaches to understand things. After that, though, these approaches were limited to fewer types.
Azadeh Khaki Ghasr
doaj
A mathematical theory of semantic development in deep neural networks
An extensive body of empirical research has revealed remarkable regularities in the acquisition, organization, deployment, and neural representation of human semantic knowledge, thereby raising a fundamental conceptual question: what are the theoretical ...
Ganguli, Surya +2 more
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Memory without content? Radical enactivism and (post)causal theories of memory [PDF]
Radical enactivism, an increasingly influential approach to cognition in general, has recently been applied to memory in particular, with Hutto and Peeters New directions in the philosophy of memory, Routledge, New York, 2018) providing the first ...
Michaelian, Kourken, Sant’Anna, André
core

