Large language models for robotics: A survey
The human ability to learn, generalize, and control complex manipulation tasks through multi-
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …
modality feedback suggests a unique capability, which we refer to as dexterity intelligence …
Working memory
A Baddeley - Science, 1992 - science.org
The term working memory refers to a brain system that provides temporary storage and
manipulation of the information necessary for such complex cognitive tasks as language …
manipulation of the information necessary for such complex cognitive tasks as language …
The rise and potential of large language model based agents: A survey
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …
Towards reasoning in large language models: A survey
Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …
activities such as problem solving, decision making, and critical thinking. In recent years …
Language models show human-like content effects on reasoning
Abstract reasoning is a key ability for an intelligent system. Large language models (LMs)
achieve above-chance performance on abstract reasoning tasks, but exhibit many …
achieve above-chance performance on abstract reasoning tasks, but exhibit many …
[PDF][PDF] On defining artificial intelligence
P Wang - Journal of Artificial General Intelligence, 2019 - intapi.sciendo.com
This article systematically analyzes the problem of defining “artificial intelligence.” It starts by
pointing out that a definition influences the path of the research, then establishes four criteria …
pointing out that a definition influences the path of the research, then establishes four criteria …
Meaning without reference in large language models
ST Piantadosi, F Hill - arXiv preprint arXiv:2208.02957, 2022 - arxiv.org
The widespread success of large language models (LLMs) has been met with skepticism
that they possess anything like human concepts or meanings. Contrary to claims that LLMs …
that they possess anything like human concepts or meanings. Contrary to claims that LLMs …
Positionality and its problems: questioning the value of reflexivity statements in research
J Savolainen, PJ Casey, JP McBrayer… - Perspectives on …, 2023 - journals.sagepub.com
There has been a remarkable push for the use of positionality statements—also known as
reflexivity statements—in scientific-journal articles and other research literatures. Grounded …
reflexivity statements—in scientific-journal articles and other research literatures. Grounded …
[图书][B] Cognitive development and cognitive neuroscience: The learning brain
U Goswami - 2019 - taylorfrancis.com
Cognitive Development and Cognitive Neuroscience: The Learning Brain is a thoroughly
revised edition of the bestselling Cognitive Development. The new edition of this full-colour …
revised edition of the bestselling Cognitive Development. The new edition of this full-colour …
Graph-based reasoning over heterogeneous external knowledge for commonsense question answering
Commonsense question answering aims to answer questions which require background
knowledge that is not explicitly expressed in the question. The key challenge is how to …
knowledge that is not explicitly expressed in the question. The key challenge is how to …