Knowledge Representation for Agents and Multi-Agent Systems
First International Workshop, KRAMAS 2008, Sydney, Australia, September 17, 2008, Revised Selected Papers
Chapter and Conference Paper
Ontologies are considered a necessary ingredient for communication among heterogeneous agents in the Web. With the multiplication of ontologies for the same domains, semantic interoperability has become a chal...
Chapter
In this paper we concern ourselves with normative multi-agent systems, which are multi-agent systems governed by a set of norms. In these systems, the internals and architecture of the participating agents may...
Chapter and Conference Paper
Qualitative and quantitative systems to deal with uncertainty coexist. Bayesian networks are a well known tool in probabilistic reasoning. For non-statistical experts, however, Bayesian networks may be hard to...
Chapter and Conference Paper
The use of normative systems is widely accepted as an effective approach to control and regulate the behaviour of agents in multi-agent systems. When norms are added to a normative system, the behaviour of suc...
Chapter
In this paper we show how a cognitive agent programming language can be endowed with ways to program emotions. In particular we show how the programming language 2APL can be augmented so that it can work toget...
Chapter and Conference Paper
Previous research has shown that argumentation semantics can be described with Monadic Second Order Logic. While certain less expressive, modal, logics can also capture some of the semantics, the general issue...
Chapter and Conference Paper
Increasingly research into the uses of argumentation in multi-agent dialogues takes an experimental approach. Such studies explore how agents can successfully employ argumentation besides the best and worst ca...
Chapter
Various theories of cognitive or rational agents that use formal logic to define such agents have been proposed in the literature. Similarly, a range of more computationally oriented frameworks have been propo...
Chapter and Conference Paper
Research regarding autonomous learning shows that freeplay does not result in optimal learning. Combining scenario-based training with intelligent agent technology offers the possibility to create autonomous t...
Chapter and Conference Paper
Agents engage in deliberation dialogues to collectively decide on a course of action. To solve conflicts of opinion that arise, they can question claims and supply arguments. Existing models fail to capture th...
Article
Aim of this work is to provide a formal characterization of those emotions that deal with normative reasoning, such as shame and sense of guilt, to understand their relation with rational action and to ground ...
Chapter and Conference Paper
The purpose of this contribution is to set up a language to evaluate the results of concerted action among interdependent agents against predetermined properties that we can recognise as desirable from a deont...
Chapter and Conference Paper
Virtual characters in games operate in a social context involving other characters and possibly human players as well. If such socially situated virtual characters are to be considered believable to players, t...
Chapter and Conference Paper
The development of multi-agent programs requires debugging tools and techniques to find and resolve possible defects in such programs. This paper focuses on BDI-based multi-agent programs, discusses some exist...
Article
This paper addresses the notion of (declarative) goals as used in agent programming. Goals describe desirable states, and semantics of these goals in an agent programming context can be defined in various ways...
Book and Conference Proceedings
First International Workshop, KRAMAS 2008, Sydney, Australia, September 17, 2008, Revised Selected Papers
Chapter and Conference Paper
Users expect characters in role-playing games to be proactive and social, but these characters fail to deliver in this respect due to limitations of traditional game AI programming approaches. BDI-based approa...
Chapter and Conference Paper
Virtual training systems provide an effective means to train people for complex, dynamic tasks such as crisis management or firefighting. Intelligent agents are often used to play the characters with whom a tr...
Chapter and Conference Paper
In virtual training scenarios, agent technology can be used to build a virtual tutor that assists a student during training. In a dialogue using argumentation schemes, the virtual tutor provides reasons to the...
Chapter and Conference Paper
Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by an organization artefact. This paper presents a simplified version of a programming language that is designed ...