Agent software is an emerging technology that has its roots firmly in AI research. With the recent proliferation of ‘agent’ applications in areas such as e-commerce and Internet marketing, much of the application of agents can now said to be in the domain of Information Systems. One of the possible applications of agent technology is that of web-based courseware, and in particular, subject mana...

application of agent based model in simulation of stakeholder’s behavior is slightly a new method for modeling of complicated systems that include autonomous agents interacting with each other. recent numerical achievements have made the applications of agent based models possible in various fields. these applications range from modeling of human progress and destruction of past civilizations t...

In this paper, we present a replanning algorithm for a utility-based, hierarchical planner, and we discuss the empirical evaluation of its performance. The algorithm is embedded in an autonomous agent architecture which includes a meta-deliberation component. The aim of the experimental setting is to investigate, given a utility-based notion of plan failure, the role of replanning in different ...

In this work we investigate how two autonomous agent swarms, controlled by the BEECLUST algorithm are able to cooperate. The task is to locate two different target areas, which are located near each other. Therefore we developed an individual-based NetLogo model to simulate two different agent swarms moving in a temperature gradient. Both agent swarms are controlled by the BEECLUST algorithm, w...

This paper describes work undertaken in the ADEPT (Advanced Decision Environment for Process Tasks) project towards developing an agent-based infrastructure for managing business processes. We describe how the key technology of negotiating, service providing, autonomous agents was realised and demonstrate how this was applied to the BT (British Telecom) business process of providing a customer ...

The present paper aims at a descriptive analysis of the main perceptual and social features of natural conditions of agent interaction, which can be specified by agent in humanhumanoid robot interaction. A principled approach to humanrobot interaction may be assumed to comply with the natural conditions of agents overt perceptual and social behaviour. To validate our research we used the minima...

We envision a rational cacophony of “numberless infinities” of autonomous software agents engaged in dialogue and argument with each other, debating automatically every topic which humans now discuss and many we do not. This note presents the major elements we believe are necessary for the achievement of this vision, and outlines the progress already made — by ourselves and others — towards its...

The inability of current "classical" AI systems to handle unconstrained interaction with tbe real world has recently lead to a search for new control architectures for autonomous agents. We argue that simpler natural animals already exhibit most of the properties required by an autonomous agent, and suggest that designers of autonomous agents should draw directly upon the neural basis of behavi...

In the last years, social and organizational aspects of agency have become a major issue in multi-agent systems’ research. Recent applications of MAS enforce the need of using these aspects in order to ensure some social order within these systems. Tools to control and regulate the overall functioning of the system are needed in order to enforce global laws on the autonomous agents operating in...

This paper gives an introduction to the problem of mapping simple polygons with autonomous agents. We focus on minimalistic agents that move from vertex to vertex along straight lines inside a polygon, using their sensors to gather local observations at each vertex. Our attention revolves around the question whether a given configuration of sensors and movement capabilities of the agents allows...