Bayesian Learning Models of Pain: A Call to Action

Learning is fundamentally about action, enabling the successful navigation of a changing and uncertain environment. The experience of pain is central to this process, indicating the need for a change in action so as to mitigate potential threat to bodily integrity. This review considers the application of Bayesian models of learning in pain that inherently accommodate uncertainty and action, which, we shall propose are essential in understanding learning in both acute and persistent cases of pain

Cognition-Based Networks: A New Perspective on Network Optimization Using Learning and Distributed Intelligence

IEEE Access Volume 3, 2015, Article number 7217798, Pages 1512-1530 Open Access Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence (Article) Zorzi, M.a , Zanella, A.a, Testolin, A.b, De Filippo De Grazia, M.b, Zorzi, M.bc a Department of Information Engineering, University of Padua, Padua, Italy b Department of General Psychology, University of Padua, Padua, Italy c IRCCS San Camillo Foundation, Venice-Lido, Italy View additional affiliations View references (107) Abstract In response to the new challenges in the design and operation of communication networks, and taking inspiration from how living beings deal with complexity and scalability, in this paper we introduce an innovative system concept called COgnition-BAsed NETworkS (COBANETS). The proposed approach develops around the systematic application of advanced machine learning techniques and, in particular, unsupervised deep learning and probabilistic generative models for system-wide learning, modeling, optimization, and data representation. Moreover, in COBANETS, we propose to combine this learning architecture with the emerging network virtualization paradigms, which make it possible to actuate automatic optimization and reconfiguration strategies at the system level, thus fully unleashing the potential of the learning approach. Compared with the past and current research efforts in this area, the technical approach outlined in this paper is deeply interdisciplinary and more comprehensive, calling for the synergic combination of expertise of computer scientists, communications and networking engineers, and cognitive scientists, with the ultimate aim of breaking new ground through a profound rethinking of how the modern understanding of cognition can be used in the management and optimization of telecommunication network

Modeling Adaptation with Klaim

In recent years, it has been argued that systems and applications, in order to deal with their increasing complexity, should be able to adapt their behavior according to new requirements or environment conditions. In this paper, we present an investigation aiming at studying how coordination languages and formal methods can contribute to a better understanding, implementation and use of the mechanisms and techniques for adaptation currently proposed in the literature. Our study relies on the formal coordination language Klaim as a common framework for modeling some well-known adaptation techniques: the IBM MAPE-K loop, the Accord component-based framework for architectural adaptation, and the aspect- and context-oriented programming paradigms. We illustrate our approach through a simple example concerning a data repository equipped with an automated cache mechanism

Applying OMG D&C Specification and ECA Rules for Autonomous Distributed Component-based Systems

Manual administration of complex distributed applications is almost impossible to achieve. On one side, work in autonomic computing focuses on systems that are able to maintain themselves, driven by high-level policies. Such a selfadministration relies on the concept of a control loop. On the other side, modeling is currently used to ease design of complex distributed systems. Nevertheless, at runtime, models remain useless, because they are decoupled from the running system which is subject to dynamic changes. The autonomic computing control loop involves an abstract representation of the system used to analyze the situation and to adapt the application properly. Our proposition, named Distributed Autonomous Component-based ARchitectures (Dacar), introduces models in the control loop. Using adequate models into the control loop, it is possible to design both the distributed systems and their evolution policies, and to execute them. The metamodel suggested in our work mixes both OMG Deployment and Configuration specification and the Event-Condition-Action (ECA) metamodels. This paper treats the different concerns that are present in the control loop and focuses on the concepts of the metamodel that are needed to express entities of the control loop. It also gives an overview of the current Dacar prototype and illustrated it on an ubiquitous application example

Agent-based simulation of a project fractal company

In response to competitive pressures small and medium enterprises have begun to form alliances between them. This allows each company to increase their ability to react and adapt to changes in their business environment, concentrating on their core competencies, increase the availability of resources and gain economies of scale. Thus, the project-based fractal company model enables virtual and temporary integration between different companies to achieve specific business objectives. The successful implementation of the model lies in the establishment of client-server relationships between project managers. This paper analyses the use of agentbased simulation to show behaviors that emerge from the interaction of project managers and resources managers when they establish client-server relationships. To do this, use Netlogo language as a tool intends to demonstrate emergent behavior resulting from interactions between agents of the fractal company.XVII Workshop Agentes y Sistemas Inteligentes (WASI).Red de Universidades con Carreras en Informática (RedUNCI