Self-modifying production system model of cognitive development
Production system models of learning and development
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Machine Learning
Understanding Computers and Cognition: A New Foundation for Design
Understanding Computers and Cognition: A New Foundation for Design
The Connectionist Inductive Learning and Logic Programming System
Applied Intelligence
The Case for Graph-Structured Representations
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Symbol grounding and its implications for artificial intelligence
ACSC '03 Proceedings of the 26th Australasian computer science conference - Volume 16
JFLAP: An Interactive Formal Languages and Automata Package
JFLAP: An Interactive Formal Languages and Automata Package
Extending the Soar Cognitive Architecture
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition
Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition
Self-Organizing Sensorimotor Maps Plus Internal Motivations Yield Animal-Like Behavior
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Cognitive architectures: Research issues and challenges
Cognitive Systems Research
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In this paper we argue that a philosophically and psychologically grounded autonomous agent is able to learn recursive rules from basic sensorimotor input. A sensorimotor graph of the agent's environment is generated that stores and optimises beneficial motor activations in evaluated sensor space by employing temporal Hebbian learning. This results in a categorized stream of experience that feeds in a Minerva memory model which is enriched by a time line approach and integrated in the cognitive architecture Psi--including motivation and emotion. These memory traces feed seamlessly into the inductive rule acquisition device Igor2 and the resulting recursive rules are made accessible in the same memory store. A combination of cognitive theories from the 1980ies and state-of-the-art computer science thus is a plausible approach to the still prevailing symbol grounding problem.