We investigate the exploration of networks by a mobile agent. It is long known that, without global information about the graph, it is not possible to make the agent halts after the exploration except if the graph is a tree. We therefore endow the agent with binoculars, a sensing device that can show the local structure of the environment at a constant distance of the agent current location. We...

The issue of exploration-exploitation remains one of the most challenging tasks within the framework of evolutionary algorithms. To effectively balance the exploration and exploitation in the search space, this paper proposes a modified cloud particles differential evolution algorithm (MCPDE) for real-parameter optimization. In contrast to the original Cloud Particles Differential Evolution (CP...

Nature inspired metaheuristics proved to be very successful when applied to hard optimization problems, combinatorial as well as global. For all these algorithms, with very different basic ideas, parameters and implementation details, the common problem that ultimately determines the successfulness of a particular algorithm is balance between exploitation and exploration. Exploitation refers to...

An approach is presented to learning high dimensional functions in the case where the learning algorithm can affect the generation of new data. A local modeling algorithm, locally weighted regression, is used to represent the learned function. Architectural parameters of the approach, such as distance metrics, are also localized and become a function of the query point instead of being global. ...

This paper reviews recent developments under the free energy principle that introduce a normative perspective on classical economic (utilitarian) decision-making based on (active) Bayesian inference. It has been suggested that the free energy principle precludes novelty and complexity, because it assumes that biological systems-like ourselves-try to minimize the long-term average of surprise to...

We investigate the online exploration problem of a shortsighted mobile robot moving in an unknown cellular room without obstacles. The robot has a very limited sensor; it can determine only which of the four cells adjacent to its current position are free and which are blocked, i. e., unaccessible for the robot. Therefore, the robot must enter a cell in order to explore it. The robot has to vis...

During the development process of complex embedded systems there typically is a large number of architectural decisions that engineers are facing. Each of them can influence the properties of the end result (i.e.: cost, performance, etc.). A systematic process that supports this decision making is often referred to as Design Space Exploration (DSE). The need for computer-aided DSE methods was r...

Despite a growing body of evidence linking personality to life-history variation and fitness, the behavioural mechanisms underlying these relationships remain poorly understood. One mechanism thought to play a key role is how individuals respond to risk. Relatively reactive and proactive (or shy and bold) personality types are expected to differ in how they manage the inherent trade-off between...

Design space exploration is the simultaneous analysis of problem and solution spaces for a specific domain or application scope. Performing this activity as part of the architectural design is beneficial, especially for software platforms, which are shared across organizations. Exploring the design space of software platforms in a multi-product and multi-domain context is not trivial, and only ...

In this paper, we present a new methodology to rapidly explore the large design space encountered in hardware/software systems. The proposed methodology is based on a fast and accurate estimation approach. It has been implemented as an extension to a hardware/software codesign flow to enable the exploration of a large number of multiprocessor architecture solutions from the very start of the de...