Most existing methods for audio sentiment analysis use automatic speech recognition to convert speech to text, and feed the textual input to text-based sentiment classifiers. This study shows that such methods may not be optimal, and proposes an alternate architecture where a single keyword spotting system (KWS) is developed for sentiment detection. In the new architecture, the text-based senti...

We propose models that focus on the improvement of flexibility in manufacturing supply networks by enabling a tighter information coupling between the various planning levels without tampering with the autonomy of enterprises which are geographically distributed. The problem is approached from the perspective of social network planning using a community of agents. These agents have unique prope...

Force flexibility is often referred to when considering the effectiveness of a force. Flexibility is all too often loosely defined and illcommunicated due to the number of factors involved and the nature of the English language. During the Army Experimental Framework Experiment Headline 2006 a key variable in determining a forces ability to continue its mission was the flexibility of the force ...

The complexity of land use and land cover change (LULC) models is often attributed to spatial heterogeneity of the phenomena they try to emulate. The associated outcome uncertainty stems from a combination of model unknowns. Contrarily to the widely shared consensus on the importance of evaluating outcome uncertainty, little attention has been given to the role a well-structured spatially-expli...

Kotler and Caslione have recently published a new book Chaotics which stresses the importance of scenario analysis in marketing, especially in turbulent times. The goal of this paper is to show how an agent-based simulator could be practically used as a valuable supporting tool for the marketing analysis of opportunities and threats on retail markets.

1.1 In recent years more and more social scientists and in particular economists have been using simulation models. Without doubt numerical approaches—among them most outstanding agent-based approaches—offer a prolific way out of the tight corset which is determining modelling strategies so far for economists (e.g. Pyka and Fagiolo 2007). Accordingly, simulation techniques are applied almost en...

Humans have a long history of activity in Mediterranean Basin landscapes. Spatial heterogeneity in these landscapes hinders our understanding about the impacts of changes in human activity on ecological processes, such as wildfire. The use of spatially-explicit models that simulate processes at fine scales should aid the investigation of spatial patterns at the broader, landscape scale. Here, w...

We present a linear agent based model on brand competition. Each agent belongs to one of the two brands and interacts with its nearest neighbors. In the process the agent can decide to change to the other brand if the move is beneficial. The numerical simulations show that the systems always condenses into a state when all agents belong to a single brand. We study the condensation times for dif...

Crossets are new interactive instruments or widgets based on crossing gestures that exploit the dimension orthogonal to sliders’ axes for manipulating multiple aligned sliders simultaneously. We propose a Crossets taxonomy to generalize the sliders’ properties to those of other standard widgets. We introduce and illustrate the constrained crossing gesture with Crossets in an interface for the v...

The general problem of how environmental dynamics affect the behavioral interaction in an evolutionary economy is considered. To this end, a basic model of a dynamic multi-sector economy is developed where the evolution of investment strategies depends on the diversity of these strategies, social connectivity, and relative contribution of sector specific investments to production. Four types of...