A discussion of the principles of the framework AKIRA, also comparing it with related models such as Hofstadter's Copycat
Abstract: We present AKIRA, an agent-based hybrid architecture designed for cognitive modeling. We describe some of the underlying ideas motivating its development, such as the possibility of exploiting distributed representations and performing parallel, dynamic and context aware computation. We illustrate its main components and capabilities and compare it with some related cognitive architectures, such as DUAL and Copycat. We present also a sample simulation in the visual search domain, exploiting AKIRA’s peculiarities for cognitive modeling.
Pezzulo, G. & Calvi, G. Dynamic Computation and Context Effects in the Hybrid Architecture AKIRA Modeling and Using Context: 5th International and Interdisciplinary Conference CONTEXT 2005, Springer LNAI 3554., 2005, 368-381
I am a researcher at the Institute of Cognitive Sciences and Technologies, CNR, in Rome. You can look at my publications, or at my curriculum vitae, or contact me: giovanni.pezzulo(AT)istc.cnr.it I got a degree in Philosophy of Science and a PhD in Cognitive Psychology. My interests are both theoretical and computational, with several topics: anticipation and anticipatory behavior (in the framework of the EU funded project MindRACES); cognitive architectures (trying to bridge sensorimotor interaction with high-level cognitive capabilities such as practical reasoning); goal-oriented behavior; representations (theoretical and computational models); motivations (and their roles in determining behavior); decision making (theoretical and computational models, some experimental work).