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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Related Experiment Video

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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
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A cognitive architecture for simulating bodies and minds.

Sergei Nirenburg1, Marjorie McShane, Stephen Beale

  • 1University of Maryland Baltimore County, MD, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|December 24, 2011
PubMed
Summary

This paper introduces OntoAgent, a cognitive architecture for creating intelligent agents with simulated human-like abilities. These agents can join teams with humans and AI, supporting diverse applications like medical training and clinical decision support.

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Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Human-Computer Interaction

Background:

  • Intelligent agents require sophisticated cognitive architectures to simulate human-like abilities.
  • Multi-agent systems benefit from agents capable of integrating with both artificial and human team members.

Purpose of the Study:

  • To present OntoAgent, a generic cognitive architecture for developing intelligent agents.
  • To demonstrate the architecture's versatility through two distinct applications: the Maryland Virtual Patient (MVP) and the CLinician's ADvisor (CLAD).

Main Methods:

  • The OntoAgent architecture is designed with generic knowledge resources and processors.
  • Agent modeling is organized around four key aspects: physiological simulation, knowledge and learning, decision-making, and language processing.

Main Results:

  • The paper outlines the OntoAgent architecture and its core components.
  • Two applications, MVP and CLAD, are described, illustrating the architecture's adaptability.

Conclusions:

  • OntoAgent provides a flexible framework for building intelligent agents with simulated human-like capabilities.
  • The architecture's generic design supports a wide range of applications, including specialized domains like medical training and clinical support.