One of the most interesting issues in agent technology has always been the modeling and enhancement of agent behavior. Numerous approaches exist, attempting to optimally reflect both the inner states, as well as the perceived environment of an agent, in order to provide it either with reactivity or proactivity. Within the context of this paper, an alternative methodology for enhancing agent beh...

Over the last two decades, the multi-dimensional notion of job performance has been fully brought to life. The differentiation between core task performance and various aspects of discretionary work behaviour is now commonly applied. A multitude of empirical studies, enhancing our knowledge of the antecedents and consequences of the different performance aspects, have recently been summarised t...

Artificial Intelligence (AI) is concerned with the development of innovative computing systems based on new models that simulate or emulate different aspects of natural intelligence. Such models can exhibit characteristics typically attributed to human intelligence like reasoning, perception, planning, learning, pattern recognition, problem-solving, rationality, and decision making, as well as ...

Multi-agent teamwork is governed by the same principles that underlie human cooperation. This paper describes how to give agents the same cooperative capabilities, observability and proactivity, that humans use. We show how agents can use observation of the environment and of teammates’ actions to estimate the teammates’ beliefs without generating unnecessary messages; we also show how agents c...

The European FP7 research project m:Ciudad a metropolis of ubiquitous services aims at the empowerment of users to create services on mobile terminals. The project demonstrates various scenarios in which users either act as creator of services or interact with the system to search for services or service construction components. The search and recommendation process in the system facilitates re...

Personal assistant agents capable of proactively offering assistance can be more helpful to their users through their ability to perform tasks that otherwise would require user involvement. This article characterizes the properties desired of proactive behavior by a personal assistant agent in the realm of task management and develops an operational framework to implement such capabilities. We ...

ezDL is an open-source IR frontend system supporting proactivity, higher level search activities, the digital library life cycle, and collaboration of searchers. The ezDL framework is based on an extensible, service-oriented architecture, with user clients running on the desktop, in a browser or as a smartphone app. For performing user-centered evaluations, ezDL has a builtin evaluation mode th...

The ability to proactively offer assistance promises to make personal agents more helpful to their users. We characterize the properties desired of proactive behaviour by a personal assistant agent in the realm of task management, and present an extended agent cognition model that features a meta-level layer charged with identifying potentially helpful actions and determining when it is appropr...

The purpose of this study was to examine the relationship between career adaptability, job crafting, and embeddedness, it predicted that adaptability promotes embeddedness in self-initiated expatriates by increasing their crafting behavior. Data were collected from 881 multinational companies United Arab Emirates, which analyzed using structural equation modeling. modeling results support propo...

Pervasive computing envisions a world where people are surrounded by numerous communication and computing interconnected devices that are invisible and assist users in their everyday tasks in a seamless unobtrusive manner. Most pervasive computing research initiatives aim towards the realization of smart spaces, i.e. fixed spaces that provide pervasive features in a static and geographically li...