CaMeRa: A Computational Model of Multiple Representations

  title={CaMeRa: A Computational Model of Multiple Representations},
  author={Hermina J. M. Tabachneck-Schijf and Anthony M. Leonardo and Herbert A. Simon},
  journal={Cogn. Sci.},
This research aims to clarify, by constructing and testing o computer simulation, the use of multiple representations in problem solving, focusing on their role in visual reasoning. The model is motivated by extensive experimental evidence in the literature for the features it incorporates, but this article focuses on the system’s structure. We illustrate the model’s behavior by simulating the cognitive and perceptual processes of an economics expert as he teaches some well-learned economics… 
Computational Mental Imagery, and Visual Mechanisms for Maintaining a Goal-Subgoal Hierarchy
A computational framework for mental imagery is presented which specifies the representational and inferential primitives needed to form an imagery-based reasoning system and a novel recursive memory structure that is called Recursive Visual Memory (RVM), which provides a purely visual mechanism for maintaining a nested sequence of reasoning goals and subgoals.
Extending Cognitive Architectures with Spatial and Visual Imagery Mechanisms
The evaluation reveals that in tasks where reasoning includes many spatial or visual properties, the combination of amodal and perceptual representations provides an agent with additional functional capability and improves its problem-solving quality.
Augmenting Cognitive Architectures to Support Diagrammatic Imagination
The degree to which DRS, an earlier proposal for such an internal representation for diagrams, meets these requirements is discussed, and the use of DRS to augment Soar and ACT-R with a diagrammatic representation component is briefly reviewed.
Representation and Uncertainty 1 Complex visual data analysis , uncertainty , and representation
How do problem solvers represent visual-spatial information in complex problem solving tasks? This paper explores the predictions of symbolic computation, embodied problem solving and a
Multiple Representations in Cognitive Architectures
It is argued that a SMM must incorporate (a) multiple representational formats and (b) meta-cognitive processes that operate on them and current approaches to extend cognitive architectures with visual-spatial representations are described.
A cognitive architecture-based model of graph comprehension
I present a model of expert comprehension performance for 2 × 2 "interaction" graphs typically used to present data from two-way factorial research designs. Developed using the ACT-R cognitive
This chapter provides a comparative analysis of visual and verbal (sentential) reasoning approaches and their combination called heterogeneous reasoning and concludes that the fundamental iconic reasoning approach proclaimed by Charles Peirce is the most comprehensiveheterogeneous reasoning approach.
Thinking in PolAR Pictures: Using Rotation-Friendly Mental Images to Solve Leiter-R Form Completion
A new computational cognitive model is described that addresses Form Completion using a novel, mental-rotation-friendly image representation that enables high-fidelity mental rotation operations and presents preliminary results using actual Leiter-R test items.


Abstract Planning and Perceptual Chunks: Elements of Expertise in Geometry
It is argued that the particular and efficient knowledge organization of DC challenges current theories of skill acquisition as it presents an end-state of learning that is difficult to explain within such theories.
The primary goal of this paper is to bring the imagery debate to the A1 community, where it can be addressed from a computational perspective in terms of knowledge representation and reasoning techniques.
Cognitive coordinate systems: accounts of mental rotation and individual differences in spatial ability.
This paper provides a detailed theoretical account of the mental rotation of individuals of low and high spatial ability as they solve problems taken from psychometric tests as two related computer simulation models that not only solve the problems, but also match the response times for the two groups.
The understanding process: Problem isomorphs
Representations in Distributed Cognitive Tasks
The theoretical framework and methodology are used to analyze the hierarchical structure of the Tower of Hanoi problem and the nature of external representations is discussed.
Situated Action: A Symbolic Interpretation
It is proposed that the goals set forth by the proponents of SA can be attained only within the framework of symbolic systems, and the main body of empirical evidence supporting this view resides in the numerous symbol systems constructed in the past 35 years that have successfully simulated broad areas of human cognition.
Learning to Segment Images Using Dynamic Feature Binding
A system called MAGIC is described that learns how to group features based on a set of presegmented examples and discovers grouping heuristics similar to those previously proposed, but it also has the capability of finding nonintuitive structural regularities in images.
Reasoning with Diagrammatic Representations: A Report on the Spring Symposium
A framework for thinking about the issues that were the focus of the spring 1992 symposium on diagrammatic representations in reasoning and problem solving is developed and it is anticipated that traditional symbolic representations will increasingly be combined with iconic representations in future AI research and technology.
Simulation of expert memory using EPAM IV.
EPAM IV reproduces all of the phenomena explained previously by EPAM III and in addition gives an accurate detailed account of the performance of an expert recalling long sequences of digits.