A Model of Emotion as Patterned Metacontrol

Adaptive systems use feedback as a key strategy to cope with uncertainty and change in their environments. The information fed back from the sensorimotor loop into the control architecture can be used to change different elements of the controller at four different levels: parameters of the control model, the control model itself, the functional organization of the agent and the functional components of the agent. The complexity of such a space of potential configurations is daunting. The only viable alternative for the agent ?in practical, economical, evolutionary terms? is the reduction of the dimensionality of the configuration space. This reduction is achieved both by functionalisation —or, to be more precise, by interface minimization— and by patterning, i.e. the selection among a predefined set of organisational configurations. This last analysis let us state the central problem of how autonomy emerges from the integration of the cognitive, emotional and autonomic systems in strict functional terms: autonomy is achieved by the closure of functional dependency. In this paper we will show a general model of how the emotional biological systems operate following this theoretical analysis and how this model is also of applicability to a wide spectrum of artificial systems.

A Model of Emotion as Patterned Metacontrol

Adaptive agents use feedback as a key strategy to cope with un- certainty and change in their environments. The information fed back from the sensorimotor loop into the control subsystem can be used to change four different elements of the controller: parameters associated to the control model, the control model itself, the functional organization of the agent and the functional realization of the agent. There are many change alternatives and hence the complexity of the agent’s space of potential configurations is daunting. The only viable alternative for space- and time-constrained agents —in practical, economical, evolutionary terms— is to achieve a reduction of the dimensionality of this configuration space. Emotions play a critical role in this reduction. The reduction is achieved by func- tionalization, interface minimization and by patterning, i.e. by selection among a predefined set of organizational configurations. This analysis lets us state how autonomy emerges from the integration of cognitive, emotional and autonomic systems in strict functional terms: autonomy is achieved by the closure of functional dependency. Emotion-based morphofunctional systems are able to exhibit complex adaptation patterns at a reduced cognitive cost. In this article we show a general model of how emotion supports functional adaptation and how the emotional biological systems operate following this theoretical model. We will also show how this model is also of applicability to the construction of a wide spectrum of artificial systems1.

Fungal biodeterioration of colour cinematographic films of the cultural heritage of Cuba

Until recently, cinematographic film was largely cellulose-triacetate-based. However, this material is highly susceptible to biodeterioration, thus placing historic film collections, an important part of the cultural heritage of many countries, at risk. In the present study, samples taken from several biodeteriorated color cinematographic films belonging to the collection of the Cuban Institute for Cinematographic Industry and Arts (ICAIC) were investigated. Infrared spectroscopy showed that all films were of the same composition, i.e., a gelatin emulsion coating one side of a cellulose-triacetate-based film support. The films were analyzed by environmental scanning electron microscopy and scanning electron microscopy to determine the degree of biodeterioration and the type of colonizing microorganisms. Significant fungal colonization was found on both sides of the films in all samples, with a higher concentration of fungi on the gelatin emulsion side. Epifluorescence microscopy of fluorochrome-dyed films demonstrated that some of the fungi were still active, indicating that the films under study, and probably others at the ICAIC, are at risk of further deterioration. Fungi were identified by molecular biology techniques. The fungi mainly responsible for the observed biodeterioration were those belonging to the genera Aspergillus and Cladosporium, although other genera, such as Microascus and Penicillium, were identified as well. In accordance with the findings described herein, the existing guidelines for the prevention and control of film biodeterioration are discussed.