RESUMEN
The Remote Associates Test (RAT) is a word association retrieval task that consists of a series of problems, each with three seemingly unrelated prompt words. The subject is asked to produce a single word that is related to all three prompt words. In this paper, we provide support for a theory in which the RAT assesses a person's ability to retrieve relevant word associations from long-term memory. We present a computational model of humans solving the RAT and investigate how prior knowledge and memory retrieval mechanisms influence the model's ability to match human behavior. We expand prior modeling attempts by investigating multiple large knowledge bases and by creating a cognitive process model that uses long-term memory spreading activation retrieval processes inspired by ACT-R and implemented in Soar. We evaluate multiple model variants for their ability to model human problem difficulty, including the incorporation of noise and base-level activation into memory retrieval. We conclude that the main factors affecting human difficulty are the existence of associations between prompt words and solutions, the relative strengths and directions of those associations compared to associations to other words, and the ability to perform multiple retrievals.
Asunto(s)
Memoria , Semántica , Humanos , Conocimiento , Memoria a Largo PlazoRESUMEN
The Common Model of Cognition (CMC) is a recently proposed, consensus architecture intended to capture decades of progress in cognitive science on modeling human and human-like intelligence. Because of the broad agreement around it and preliminary mappings of its components to specific brain areas, we hypothesized that the CMC could be a candidate model of the large-scale functional architecture of the human brain. To test this hypothesis, we analyzed functional MRI data from 200 participants and seven different tasks that cover a broad range of cognitive domains. The CMC components were identified with functionally homologous brain regions through canonical fMRI analysis, and their communication pathways were translated into predicted patterns of effective connectivity between regions. The resulting dynamic linear model was implemented and fitted using Dynamic Causal Modeling, and compared against six alternative brain architectures that had been previously proposed in the field of neuroscience (three hierarchical architectures and three hub-and-spoke architectures) using a Bayesian approach. The results show that, in all cases, the CMC vastly outperforms all other architectures, both within each domain and across all tasks. These findings suggest that a common set of architectural principles that could be used for artificial intelligence also underpins human brain function across multiple cognitive domains.
Asunto(s)
Inteligencia Artificial , Encéfalo/fisiología , Cognición/fisiología , Conectoma , Inteligencia/fisiología , Teorema de Bayes , Humanos , Imagen por Resonancia Magnética , Red Nerviosa/fisiologíaRESUMEN
Using the proper greeting may be important to help establish rapport between health care providers and their patients. It may be particularly useful for family medicine physicians working in a military medical facility, where military rank and traditions are important. A total of 259 anonymous surveys were collected from patients treated at a military family medicine clinic. Most of the patients who completed the survey preferred to shake hands with their provider, be greeted using only their first name, and preferred that the provider introduce themselves using their last name only. Active duty patients were more likely than civilians to prefer a handshake (odds ratio [OR] 3.05, 95% confidence interval [CI] 1.46-6.39) and officers were more likely to prefer a handshake compared to enlisted service members (OR 3.29; 95% CI 1.18-9.20). Respondents who were older were more likely to prefer a formal introduction by their provider compared to respondents under 35 years old (OR 2.92, 95% CI 1.35-6.31). Although most patients in this facility expressed a preference for how they would like to be greeted, providers are still encouraged to ask their patients how they would prefer to be addressed.
Asunto(s)
Medicina Familiar y Comunitaria , Medicina Militar , Personal Militar/psicología , Prioridad del Paciente , Relaciones Médico-Paciente , Adulto , Factores de Edad , Femenino , Humanos , Masculino , Ocupaciones , Estados UnidosRESUMEN
We present a general cognitive architecture that tightly integrates symbolic, spatial, and visual representations. A key means to achieving this integration is allowing cognition to move freely between these modes, using mental imagery. The specific components and their integration are motivated by results from psychology, as well as the need for developing a functional and efficient implementation. We discuss functional benefits that result from the combination of multiple content-based representations and the specialized processing units associated with them. Instantiating this theory, we then discuss the architectural components and processes, and illustrate the resulting functional advantages in two spatially and visually rich domains. The theory is then compared to other prominent approaches in the area.