Learning to perceive in the sensor motor approach: Piaget's theory of equilibration interpreted dynamically

Learning to perceive is faced with a classical paradox: if understanding is required for perception, how can we learn to perceive something new, something we do not yet understand? According to the sensorimotor approach, perception involves mastery of regular sensorimotor co-variations that depend on the agent and the environment, also known as the "laws" of sensorimotor contingencies (SMCs). In this sense, perception involves enacting relevant sensorimotor skills in each situation. It is important for this proposal that such skills can be learned and refined with experience and yet up to this date, the sensorimotor approach has had no explicit theory of perceptual learning. The situation is made more complex if we acknowledge the open-ended nature of human learning. In this paper we propose Piaget's theory of equilibration as a potential candidate to fulfill this role. This theory highlights the importance of intrinsic sensorimotor norms, in terms of the closure of sensorimotor schemes. It also explains how the equilibration of a sensorimotor organization faced with novelty or breakdowns proceeds by re-shaping pre-existing structures in coupling with dynamical regularities of the world. This way learning to perceive is guided by the equilibration of emerging forms of skillful coping with the world. We demonstrate the compatibility between Piaget's theory and the sensorimotor approach by providing a dynamical formalization of equilibration to give an explicit micro-genetic account of sensorimotor learning and, by extension, of how we learn to perceive. This allows us to draw important lessons in the form of general principles for open-ended sensorimotor learning, including the need for an intrinsic normative evaluation by the agent itself. We also explore implications of our micro-genetic account at the personal level.

Gaussian processes for machine learning (GPML) toolbox

The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library of simple mean and covariance functions and mechanisms to compose more complex ones. Several likelihood functions are supported including Gaussian and heavy-tailed for regression as well as others suitable for classification. Finally, a range of inference methods is provided, including exact and variational inference, Expectation Propagation, and Laplace’s method dealing with non-Gaussian likelihoods and FITC for dealing with large regression tasks.

Intimidades: as potências do falso, a falência do esquema sensório-motor e o plano centrífugo num filme de arte

O projeto Intimidades possui dois desdobramentos: um prático, que corresponde a um filme de cinquenta e cinco minutos, e um teórico, que é representado pelo presente texto. O filme pretende ouvir as pessoas que realizam trabalhos considerados desprezíveis na nossa sociedade: são os homens e mulheres do labor, nossos pequenos escravos assalariados. Tendo este objetivo, buscou-se encontrar uma forma plástica (estética) para o filme que conseguisse escapar às determinações do poder, que são representadas pela televisão e pelo cinema comercial. Para tanto, recorreu-se a conceitos e ideias desenvolvidas pelo filósofo Gilles Deleuze e pelo teórico do cinema André Bazin. Conceitos como o de intercessores, de potências do falso, de falência do esquema sensório-motor, de plano centrífugo e de plano sequência foram articulados no presente texto e serviram como base teórica para se encontrar a forma do filme. Neste movimento entre a teoria e a prática, o projeto Intimidades colocou o pensamento da filosofia em contato com o campo extra-filosófico da arte, através do exemplo prático do filme

Quantum Simulation of Dissipative Processes without Reservoir Engineering

We present a quantum algorithm to simulate general finite dimensional Lindblad master equations without the requirement of engineering the system-environment interactions. The proposed method is able to simulate both Markovian and non-Markovian quantum dynamics. It consists in the quantum computation of the dissipative corrections to the unitary evolution of the system of interest, via the reconstruction of the response functions associated with the Lindblad operators. Our approach is equally applicable to dynamics generated by effectively non-Hermitian Hamiltonians. We confirm the quality of our method providing specific error bounds that quantify its accuracy.