An agent-based negotiation team is a group of interdependent agents that join together as a single negotiation party due to their shared interests in the negotiation at hand. The reasons to employ an agent-based negotiation team may vary: (i) more computation and parallelization capabilities; (ii) unite agents with different expertise and skills whose joint work makes it possible to tackle comp...

Method engineering has widely been proposed as an approach to delivering industrial strength software development processes to spur the adoption of agent-based software in industry. The Foundation for Physical Agents Technical Committee (FIPA-TC) Methodology group is currently attempting to define a template for documenting process fragments. This paper presents our experience in applying the t...

We present a formalism for programming complex multiagent reactive systems in a structured manner. The motivation behind this work is to obtain a simple semantic framework for such reactive systems. The approach followed is to build upon a timed extension of concurrent constraint programs that have been used to present an elegant declarative framework for reactive systems. Timed concurrent cons...

Agent-Based Modeling can contribute to the understanding of international trade processes. Models for the effects of culture and cultural differences on agent behavior are required for realistic agent-based simulation of international trade. This paper makes a step toward modeling of culture in agents. The focus is one of the five dimensions of culture according to Hofstede: individualism versu...

This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (CSCL), Multi-Agent Systems (MAS) and the artificial intelligence techniques called: Instructional Planning (IP) and Case-Based Reasoning (CBR). Finally ALLEGRO is presented, a MAS environment of support to the teaching/...

For an agent to act intelligently in a multi-agent environment it must model the capabilities of other agents. In adversarial environments, like the beyond-visual-range air combat domain we study in this paper, it may be possible to get information about teammates but difficult to obtain accurate models of opponents. We address this issue by designing an agent to learn models of aircraft and mi...

This paper reports the findings of using multi-agent based simulation model to evaluate the sawmill yard operations within a large privately owned sawmill in Sweden, Bergkvist Insjön AB in the current case. Conventional working routines within sawmill yard threaten the overall efficiency and thereby limit the profit margin of sawmill. Deploying dynamic work routines within the sawmill yard is n...

Evolution of automated systems, in particular evolution of automated agents based on agent deliberation, is the topic of this paper. Evolution is not a merely material process, it requires interaction within and between individuals, their environments and societies of agents. An architecture for an individual agent capable of (1) deliberation about the creation of new agents, and (2) (run-time)...

Of the ways in which agent behaviour can be regulated in a multiagent system, electronic contracting – based on explicit representation of different parties' responsibilities, and the agreement of all parties to them – has significant potential for modern industrial applications. Based on this assumption, the CONTRACT project aims to develop and apply electronic contracting and contract-based m...