Connectionism and cognitive architecture: a critical analysis
Connections and symbols
Unified theories of cognition
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Parallel distributed processing: explorations in the microstructure, vol. 2: psychological and biological models
Today the earwig, tomorrow man?
Artificial Intelligence
A bottom-up mechanism for behavior selection in an artificial creature
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
How logic emerges from the dynamics of information
Logic and information flow
Evolving action selection and selective attention without actions, attention, or selection
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
Noise and the Reality Gap: The Use of Simulation in Evolutionary Robotics
Proceedings of the Third European Conference on Advances in Artificial Life
MICAI '00 Proceedings of the Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Classification of random boolean networks
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Truth from Trash: How Learning Makes Sense
Truth from Trash: How Learning Makes Sense
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Modeling adaptive autonomous agents
Artificial Life
CiE'12 Proceedings of the 8th Turing Centenary conference on Computability in Europe: how the world computes
What Does Artificial Life Tell Us About Death?
International Journal of Artificial Life Research
Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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I discuss the suitability of different paradigms for studying cognition. I use a virtual laboratory that implements five different representative models for controlling animats: a rule-based system, a behaviour-based system, a concept-based system, a neural network, and a Braitenberg architecture. Through different experiments, I compare the performance of the models and conclude that there is no ''best'' model, since different models are better for different things in different contexts. Using the results as an empirical philosophical aid, I note that there is no ''best'' approach for studying cognition, since different paradigms have all advantages and disadvantages, since they study different aspects of cognition from different contexts. This has implications for current debates on ''proper'' approaches for cognition: all approaches are a bit proper, but none will be ''proper enough''. I draw remarks on the notion of cognition abstracting from all the approaches used to study it, and propose a simple classification for different types of cognition.