Agent-based models appear strange to many social scientists, and especially to economists. In general, they lack explicit analytical solutions and rely instead on simulation to discover their properties. Individual agents are usually heterogeneous, defying simple, easily generalizable descriptions. Probabilistic behaviour of such agents is normally incorporated in the models. It is not surprisi...

A key step in many image quantification solutions is feature pooling, where subsets of lower-level features are combined so that higher-level, more invariant predictions can be made. The pooling region which defines the subsets often has a fixed spatial size and geometry, but data adaptive pooling regions have also been used. In this paper we investigate pooling strategies for the data adaptive...

In this paper we present AnswerTree, a collaborative mobile location-based educational game designed to teach 8-12 year olds about trees and wildlife within the University of Nottingham campus. The activity is designed around collecting virtual cards (similar in nature to the popular Top Trumps games) containing graphics and information about notable trees. Each player begins by collecting one...

Bargaining solutions that satisfy weak Pareto optimality, symmetry, and independence of equivalent utility representations are called standard. The Nash (1950) solution is the unique independent standard solution and the KalaiSmorodinsky (1975) solution is the unique monotonic standard solution. Every standard solution satisfies midpoint domination on triangles, or MDT for short. I introduce a ...

There have been many security solutions to secure representation in the work flow used in business processes and Grid Networks. Most of these solutions try to provide maximum security in workflow processes and most of them are used Role-Based Access Control model (RBAC). Capability Role-Base Access Control (CRBAC) is one of the models that are used to model RBAC which in this paper, we introduc...

As agent based systems move out of the controlled laboratory and simulated environment into real world applications, they face signi cant design and operational challenges. This paper attempts to highlight some of the major issues involved in the design and implementation of agent based applications. Our intent is not to prescribe speci c solutions or actions, which will depend on the applicati...

We describe ongoing efforts towards and challenges in using an Example-Based Machine Translation (EBMT) system in the context of a multi-national, multi-university and multi-agency transnational digital government project. The project is aimed at applying information technology to the problem of collecting and sharing information securely in a multilingual context. We report on a number of issu...

In this paper, we have proposed the implementation of Groundwater Possibility Retrieval System to detect the groundwater possibility using the burgeoning technique of Biogeography Based Optimization and Case based reasoning retrieval. In the case base used in this study, Geology, Land form, Soil, Land use, Slope and Lineament play a decisive role in determining ground water possibilities. These...

Introduction Markets are simple devices to coordinate agents Yet they are complex objects where the interaction of thousands of traders with different knowledge, skill, budget, horizon, target.. . takes place Analytical solutions are (almost) impossible to get if some realism is modelled Moreover, some features of financial markets are very difficult to obtain with simple, " representative " an...

Location problems have been the focus of considerable attention both in research and practice for many years. Numerous extensions have been described to broaden its appeal and enhance its applicability. This study proposes a spreadsheet approach for three well-known facility location problems, the p-median problem (PMP), capacitated p-median (CPMP), and maximal covering location problem (MCLP)....