A blackboard architecture for control
Artificial Intelligence
Biological Cybernetics
The society of mind
SOAR: an architecture for general intelligence
Artificial Intelligence
Mind children: the future of robot and human intelligence
Mind children: the future of robot and human intelligence
The computational brain
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
Information Sciences: an International Journal
Brains, Behavior and Robotics
Intelligent Systems: Architecture, Design, and Control
Intelligent Systems: Architecture, Design, and Control
Polychronization: Computation with Spikes
Neural Computation
Journal of Cognitive Neuroscience
A Model of Prefrontal Cortical Mechanisms for Goal-directed Behavior
Journal of Cognitive Neuroscience
Engines of the brain: the computational instruction set of human cognition
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
International Journal of Computer Vision
Confabulation Theory: The Mechanism of Thought
Confabulation Theory: The Mechanism of Thought
Cognitive high level information fusion
Information Sciences: an International Journal
On developmental mental architectures
Neurocomputing
Learning traversability models for autonomous mobile vehicles
Autonomous Robots
Anatomy of a cortical simulator
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
On the design of intelligent robotic agents for assembly
Information Sciences: an International Journal
IEEE Spectrum
Information Sciences: an International Journal
A cognitive interactionist sentence parser with simple recurrent networks
Information Sciences: an International Journal
Statics and dynamics of cognitive and qualitative matchmaking in task fulfillment
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
System regression test planning with a fuzzy expert system
Information Sciences: an International Journal
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The brain is first and foremost a control system that is capable of building an internal representation of the external world, and using this representation to make decisions, set goals and priorities, formulate plans, and control behavior with intent to achieve its goals. The internal representation is distributed throughout the brain in two forms: (1) firmware embedded in synaptic connections and axon-dendrite circuitry, and (2) dynamic state-variables encoded in the firing rates of neurons in computational loops in the spinal cord, midbrain, subcortical nuclei, and arrays of cortical columns. It assumes that clusters and arrays of neurons are capable of computing logical predicates, smooth arithmetic functions, and matrix transformations over a space defined by large input vectors and arrays. Feedback from output to input of these neural computational units enable them to function as finite-state-automata (fsa), Markov decision processes (MDP), or delay lines in processing signals and generating strings and grammars. Thus, clusters of neurons are capable of parsing and generating language, decomposing tasks, generating plans, and executing scripts. In the cortex, neurons are arranged in arrays of cortical columns that interact in tight loops with their underlying subcortical nuclei. It is hypothesized that these circuits compute sophisticated mathematical and logical functions that maintain and use complex abstract data structures. It is proposed that cortical hypercolumns together with their underlying thalamic nuclei can be modeled as a cortical computational unit (CCU) consisting of a frame-like data structure (containing attributes and pointers) plus the computational processes and mechanisms required to maintain it and use it for perception cognition, and sensory-motor behavior. In sensory processing areas of the brain, CCU processes enable focus of attention, segmentation, grouping, and classification. Pointers stored in CCU frames define relationships that link pixels and signals to objects and events in situations and episodes. CCU frame pointers also link objects and events to class prototypes and overlay them with meaning and emotional values. In behavior generating areas of the brain, CCU processes make decisions, set goals and priorities, generate plans, and control behavior. In general, CCU pointers are used to define rules, grammars, procedures, plans, and behaviors. CCU pointers also define abstract data structures analogous to lists, frames, objects, classes, rules, plans, and semantic nets. It is suggested that it may be possible to reverse engineer the human brain at the CCU level of fidelity using next-generation massively parallel computer hardware and software.