A semantic cognitive map is a mental representation of relationships between concepts

Cognitive map. https://en.wikipedia.org/wiki/Cognitive_map

A cognitive map is a type of mental representation used by an individual to order their personal store of information about their everyday or metaphorical A cognitive map is a type of mental representation used by an individual to order their personal store of information about their everyday or metaphorical spatial environment, and the relationship of its component parts. The concept was introduced by Edward Tolman in 1948. He tried to explain the behavior of rats that appeared to learn the spatial layout of a maze, and subsequently the concept wa A cognitive map is a type of mental representation used by an individual to order their personal store of information about their everyday or metaphorical spatial environment, and the relationship of its component parts. The concept was introduced by Edward Tolman in 1948. He tried to explain the behavior of rats that appeared to learn the spatial layout of a maze, and subsequently the concept was applied to other animals, including humans. The term was later generalized by some researchers, especially in the field of operations research, to refer to a kind of semantic network representing an individual's personal knowledge or schemas. Heuristics were found to be used in the manipulation and creation of cognitive maps. These internal representations are used by our memory as a guide in our external environment. It was found that when questioned about maps imaging, distancing, etc., people commonly made distortions to images. These distortions took shape in the regularisation of images (i.e., images are represented as more like pure abstract geometric images, though they are irregular in…

Mind map. https://en.wikipedia.org/wiki/Mind_map

assemblage Semantic network – Knowledge base that represents semantic relations between concepts in a network Social map – Mental representation of informationPages A mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole. It is often based on a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added. Major ideas are connected directly to the central concept, and other ideas branch out Concept map – Diagram showing relationships among concepts Cluster analysis – Grouping a set of objects by similarity Exquisite corpse – Surrealist automatic writing & art technique Graph (discrete mathematics) – Vertices connected in pairs by edges Idea – Mental image or concept Knowledge representation and reasoning – Field of artificial intelligence Mental literacy – English author and educational consultant (1942–2019)Pages displaying short descriptions of redirect targets Nodal organizational structure – Non-hierarchical organisational structurePages displaying short descriptions of redirect targets Nomological network – Representation of concepts and relationships between concepts Personal wiki Rhizome (philosophy) – Philosophical model of the connections present in an assemblage Semantic network – Knowledge base that represents semantic relations between concepts in a network Social map – Mental representation of informationPages displaying short descriptions of redirect targets Spider mapping – Diagram to visually organize information and show relationships between ideas

Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts. 2023. https://doi.org/10.1038/s41598-023-30307-6

Abstract How do we make sense of the input from our sensory organs, and put the perceived information into context of our past experiences? The hippocampal-entorhinal complex plays a major role in the organization of memory and thought. The formation of and navigation in cognitive maps of arbitrary mental spaces via place and grid cells can serve as a representation of memories and experiences and their relations to each other. The multi-scale successor representation is proposed to be the mathematical principle underlying place and grid cell computations. Here, we present a neural network, which learns a cognitive map of a semantic space based on 32 different animal species encoded as feature vectors. The neural network successfully learns the similarities between different animal species, and constructs a cognitive map of ‘animal space’ based on the principle of successor representations with an accuracy of around 30% which is near to the theoretical maximum regarding the fact that all animal species have more than one possible successor, i.e. nearest neighbor in feature space. Furthermore, a hierarchical structure, i.e. different scales of cognitive maps, can be modeled based on multi-scale successor representations. We find that, in fine-grained cognitive maps, the animal vectors are evenly distributed in feature space. In contrast, in coarse-grained maps, animal vectors are highly clustered according to their biological class, i.e. amphibians, mammals and insects. This c

Spatial information theory : foundations of geographic information science : international conference, COSIT 2001, Morro Bay, CA, USA, September 19-23, 2001 : proceedings. 2001. https://archive.org/details/spatialinformati0000cosi_g5w7

strategies is based on a mental map which includes a mental representation of geometric features such … are based on a mental representation or cognitive map of the environment. A cognitive map can be constructed … pairs of the form where x is a location in space-time, and z is a set of properties of that location

Advanced Automation for Space Missions/Chapter 3. https://en.wikisource.org/wiki/Advanced_Automation_for_Space_Missions/Chapter_3

descriptions of the essentials of the concept in the form of a semantic network. The function of such a program may appropriately be defined as concept learning