Clasp Together: Composing for Mind and Machine

Living Together: Mind and Machine Intelligence

In this paper we consider the nature of the machine intelligences we have created in the context of our human intelligence. We suggest that the fundamental difference between human and machine intelligence comes down to embodiment factors. We define embodiment factors as the ratio between an entity’s ability to communicate information vs compute information. We speculate on the role of embodime...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Composing Inductive Applications Using Ontologies for Machine Learning

Machine Theory of Mind

Theory of mind (ToM; Premack & Woodruff, 1978) broadly refers to humans’ ability to represent the mental states of others, including their desires, beliefs, and intentions. We propose to train a machine to build such models too. We design a Theory of Mind neural network – a ToMnet – which uses meta-learning to build models of the agents it encounters, from observations of their behaviour alone....

The Mind Machine

For many years scientists have examined the possible existence of extra-sensory perception (ESP). One of the most common types of experiment, referred to as a ‘forced choice’ study, involves participants attempting to guess the identity of hidden targets that have been randomly selected from a set of alternatives known to participants prior to making their guess. Many researchers have argued th...