Unified theories of cognition
Analogy-making as perception: a computer model
Analogy-making as perception: a computer model
The subtlety of sameness: a theory and computer model of analogy-making
The subtlety of sameness: a theory and computer model of analogy-making
Computer science as empirical inquiry: symbols and search
Communications of the ACM
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Fluid Concepts and Creative Analogies: Computer Models of the Fundamental Mechanisms of Thought
Integrating Marker Passing and Problem Solving: A Spreading Activation Approach to Improved Choice in Planning
The Architecture of Cognition
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Dynamics and Automaticity of Context: A Cognitive Modeling Approach
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Simulating Context Effects in Problem Solving with AMBR
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots
Anticipatory Behavior in Adaptive Learning Systems
Building robots with analogy-based anticipation
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Dynamic computation and context effects in the hybrid architecture AKIRA
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
A Multi Scale Cognitive Architecture to Account for the Adaptive and Reflective Nature of Behaviour
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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This article explores the advantages and one potential implementation of a new style of computation in which multiple lines of symbolic processing are pursued at different speeds within a hybrid multi-agent system. The cognitive architecture DUAL consists of small hybrid computational entities called DUAL agents. Each agent has a symbolic processor capable of simple symbol manipulations. There is also an activation level associated with each agent. Activation spreads according to connectionist rules. The speed of each symbolic processor is proportional to the activation level of the corresponding DUAL agent and varies dynamically. Thus multiple candidate-solutions to a given problem can be explored in parallel. More computational resources are dedicated to the more promising candidates and the degree of 'promise' is reevaluated dynamically. This allows for flexible and efficient behavior of the system as a whole. The exact relationship between symbolic speed and connectionist activation is based on an energetic analogy. The symbolic processor is conceptualized as a machine converting connectionist activation into symbolic work. A language for implementing variable-speed symbol manipulations using delayed evaluation is introduced: S-LlSP. A small example from a DUAL-based cognitive model illustrates variable-speed marker passing in a semantic network.