Abstract
The Study of Intelligence--Foundations and Issues -- The Study of Intelligence -- Characterizing Intelligence -- Studying Intelligence: The Synthetic Approach -- Foundations of Classical Artificial Intelligence and Cognitive Science -- Cognitive Science: Preliminaries -- The Cognitivistic Paradigm -- An Architecture for an Intelligent Agent -- The Fundamental Problems of Classical Al and Cognitive Science -- Real Worlds versus Virtual Worlds -- Some Well-Known Problems with Classical Systems -- The Fundamental Problems of Classical Al -- Remedies and Alternatives -- A Framework for Embodied Cognitive Science -- Embodied Cognitive Science: Basic Concepts -- Complete Autonomous Agents -- Biological and Artificial Agents -- Designing for Emergence--Logic-Based and Embodied Systems -- Explaining Behavior -- Neural Networks for Adaptive Behavior -- From Biological to Artificial Neural Networks -- The Four or Five Basics -- Distributed Adaptive Control -- Types of Neural Networks -- Beyond Information Processing: A Polemic Digression -- Approaches and Agent Examples -- Braitenberg Vehicles -- Motivation -- The Fourteen Vehicles -- Segmentation of Behavior and the Extended Braitenberg Architecture -- The Subsumption Architecture -- Behavior-Based Robotics -- Designing a Subsumption-Based Robot -- Examples of Subsumption-Based Architectures -- Conclusions: The Subsumption Approach to Designing Intelligent Systems -- Artificial Evolution and Artificial Life.
Cite
CITATION STYLE
Pfeifer, R., & Scheier, C. (2018). Embodied Cognitive Science: Basic Concepts. In Understanding Intelligence (pp. 81–138). The MIT Press. https://doi.org/10.7551/mitpress/6979.003.0007
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.