Mapping an environment with an imaging sensor becomes very challenging if the environment to be mapped is unknown and has to be explored. Exploration involves the planning of views so that the entire environment is covered. The majority of implemented mapping systems use a heuristic planning while theoretical approaches regard only the traveled distance as cost. However, practical range acquisi...

In the global economy, organizational knowledge has emerged as a major contributor to achieving sustainable competitive advantage. In this paper, the authors present an outline for the exploration of the impact of the global structure of an organization on intra-firm knowledge transfer. The authors discuss four global structures: global, international, multinational, and transnational, and pres...

We discuss the extended LP environment of the project VEGA (knowledge validation and exploration by global analysis), a toolbox that supports the development and maintenance of declarative knowledge bases. The knowledge is represented in a declarative language that merges Horn logic with nite domains, sort hierarchies, functions, and integrity constraints. These KBs may contain problem-solving ...

We investigated the angular resolution subserving the haptic perception of raised-line drawings by measuring how accurately observers could discriminate between two angle sizes under various conditions. We found that, for acute angles, discrimination performance is highly dependent on exploration strategy: mean thresholds of 2.9 degrees and 6.0 degrees were found for two different exploration s...

Artificial Neural Networks (ANN) performance depends on network topology, activation function, behaviors of data, suitable synapse's values and learning algorithms. Researchers used different learning algorithms to train ANN for getting high performance. Artificial Bee Colony (ABC) algorithm is one of the latest successfully Swarm Intelligence based technique for training Multilayer Perceptron ...

We consider algorithms that maximize a global function G in a distributed manner, using a different adaptive computational agent to set each variable of the underlying space. Each agent eta is self-interested; it sets its variable to maximize its own function g(eta). Three factors govern such a distributed algorithm's performance, related to exploration/exploitation, game theory, and machine le...

Recent research in mobile robot navigation is focused on integrating the metric and topological paradigms to unsupervisedly construct representations of indoor environments. While metric methods produce accurate environment representations, these representations present a huge data volume and they are consequently difficult to process in real time. On the other hand, topological maps can be pro...