A Standard Model of the Mind: Toward a Common Computational Framework across Artificial Intelligence, Cognitive Science, Neuroscience, and Robotics

A standard model captures a community consensus over a coherent region of science, serving as a cumulative reference point for the field that can provide guidance for both research and applications, while also focusing efforts to extend or revise it. Here we propose developing such a model for human like minds, computational entities whose structures and processes are substantially similar to those found in human cognition. Our hypothesis is that cognitive architectures provide the appropriate computational abstraction for defining a standard model, although the standard model is not itself such an architecture. The proposed standard model began as an initial consensus at the 2013 AAAI Fall Symposium on Integrated Cognition, but is extended here via a synthesis across three existing cognitive architectures: ACT-R, Sigma, and Soar. The resulting standard model spans key aspects of structure and processing, memory and content, learning, and perception and motor; highlighting loci of architectural agreement as well as disagreement with the consensus while identifying potential areas of remaining incompleteness. The hope is that this work will provide an important step towards engaging the broader community in further development of the standard model of the mind. Read More

#human

The evolution of cognitive architecture will deliver human-like AI

There’s no one right way to build a robot, just as there’s no singular means of imparting it with intelligence. Last month, Engadget spoke withCarnegie Mellon University associate research professor and the director of the Resilient Intelligent Systems Lab, Nathan Michael, whose work involves stacking and combining a robot’s various piecemeal capabilities together as it learns them into an amalgamated artificial general intelligence (AGI). Think, a Roomba that learns how to vacuum, then learns how to mop, then learns how to dust and do dishes — pretty soon, you’ve got Rosie from The Jetsons.

But attempting to model an intelligence after either the ephemeral human mind or the exact physical structure of the brain (rather than iterating increasingly capable Roombas) is no small task — and with no small amount of competing hypotheses and models to boot. In fact, a 2010 survey of the field found more than two dozen such cognitive architectures actively being studied. Read More

#human, #singularity

Meet Hemingway: The Artificial Intelligence Robot That Can Copy Your Handwriting

The everyday tasks that humans often take for granted, such as walking and handwriting, have, until recently, been challenging to program a robot to do.The Handwriting Company now has a robot that can create beautifully handwritten communication that mimics the style of an individual’s handwriting while a robot from Brown University can replicate handwriting from a variety of languages even though it was just trained on Japanese characters. Achieving this milestone of robotic capabilities was quite a feat for the researchers and roboticists behind the scenes and the machine learning algorithms that power the robots’ skills. Let’s review what’s currently possible today and what might be in store for the future with robots creating handwritten text. Read More

#fake, #nlp, #robotics

An alliance is being forged between 5G and artificial intelligence

The proposed vision for 5G technology is revolutionary, and its architecture truly innovative. It offers features that enhance not only network performance, but also the way networks are built and deployed. This is an essential aspect because one of the drivers for 5G is the reduction in both CAPEX and OPEX, which will open the door for more players offering more innovative business models.

Today, an alliance is being forged between 5G and artificial intelligence (AI) that together will be pillars of the digital transformation of millions of businesses around the globe. 5G’s technological proposition is aimed at closing the cycle on the network convergence between fixed and mobile. This means that 5G architectures and technology will allow the migration of all the services that are today dependent of fixed connections (namely fibre) to mobile (ubiquitous) connectivity, enhancing the existing portability to become true mobility of services. Read More

#5g, #artificial-intelligence, #iot