A Linguistic Approach to the Problem of Slot Semantics

Most frame-based knowledge representation (KR) systems have two strange features. First, the concepts represented by the nodes are nouns rather than verbs. Verbal ideas tend to appear mostly in describing roles or slots. Thus the systems are asymmetric. Second, and more seriously, the slot names on frames are arbitrary and not defined in the system. Usually no metasystem is given to account for them. Thus the systems are not closed. Both these features can be avoided by structures inspired by case-based linguistic theories. The basic ideas are that an ontology consists of separate, parallel lattices of verbal and nominal concepts, and that the slots of concepts in each lattice are defined by reference to the concepts in the other lattice. Slots of verbal concepts are derived from cases, and restricted by nominal concepts. Slots of nominal concepts include conducts (verbal concepts) and derivatives of the slots of verbal concepts. Our objective in this paper is not to define a new KR language, but to use input from the study of natural cognition (case grammar) to refine technology for artificial cognition

Phase Structure of Resource Allocation Games

We consider a class of games that are generalizations of the minority game, in that the demand and supply of the resource are specified independently. This allows us to study systems in which agents compete under different demand loads. Among other features, we find the existence of a robust phase change with a coexistence region as the demand load is varied, separating regions with nearly balanced supply and demand from regions of scarce or abundant resources. The coexistence region exists when the amount of information used by the agents to make their choices is greater than a critical value, which is related to the point at which there is a phase transition in the standardd minority game.Comment: 11 pages 4 figures. Submitted to Physics Letter A, Feb. 2002W

Agents and Service-Oriented Computing for Autonomic Computing: A Research Agenda

Autonomic computing is the solution proposed to cope with the complexity of today\u27s computing environments. Self-management, an important element of autonomic computing, is also characteristic of single and multiagent systems, as well as systems based on service-oriented architectures. Combining these technologies can be profitable for all - in particular, for the development of autonomic computing systems

satin: A Component Model for Mobile Self Organisation

We have recently witnessed a growing interest in self organising systems, both in research and in practice. These systems re-organise in response to new or changing conditions in the environment. The need for self organisation is often found in mobile applications; these applications are typically hosted in resource-constrained environments and may have to dynamically reorganise in response to changes of user needs, to heterogeneity and connectivity challenges, as well as to changes in the execution context and physical environment. We argue that physically mobile applications benefit from the use of self organisation primitives. We show that a component model that incorporates code mobility primitives assists in building self organising mobile systems. We present satin, a lightweight component model, which represents a mobile system as a set of interoperable local components. The model supports reconfiguration, by offering code migration services. We discuss an implementation of the satin middleware, based on the component model and evaluate our work by adapting existing open source software as satin components and by building and testing a system that manages the dynamic update of components on mobile hosts

Agent Environments for Multi-agent Systems – A Research Roadmap

Ten years ago, researchers in multi-agent systems became more and more aware that agent systems consist of more than only agents. The series of workshops on Environments for Multi-Agent Systems (E4MAS 2004-2006) emerged from this awareness. One of the primary outcomes of this endeavor was a principled understanding that the agent environment should be considered as a primary design abstraction, equally important as the agents. A special issue in JAAMAS 2007 contributed a set of influential papers that define the role of agent environments, describe their engineering, and outline challenges in the field that have been the drivers for numerous follow up research efforts. The goal of this paper is to wrap up what has been achieved in the past 10 years and identify challenges for future research on agent environments. Instead of taking a broad perspective, we focus on three particularly relevant topics of modern software intensive systems: large scale, openness, and humans in the loop. For each topic, we reflect on the challenges outlined 10 years ago, present an example application that highlights the current trends, and from that outline challenges for the future. We conclude with a roadmap on how the different challenges could be tackled. © Springer International Publishing Switzerland 2015.Peer reviewe

Research Directions for Service-Oriented Multiagent Systems

Today\u27s service-oriented systems realize many ideas from the research conducted a decade or so ago in multiagent systems. Because these two fields are so deeply connected, further advances in multiagent systems could feed into tomorrow\u27s successful service-oriented computing approaches. This article describes a 15-year roadmap for service-oriented multiagent system research

Methodology – A Review of Intelligent Manufacturing Scope, Strategy and Simulation

This paper presents a critical review of some existing modelling, control and optimization techniques for energy saving, carbon emission reduction in manufacturing processes. The study on various production issues reveals different levels of intelligent manufacturing approaches. Then methods and strategies to tackle the sustainability issues in manufacturing are summarized. Modelling tools such as discrete (dynamic) event system (DES/DEDS) and agent-based modelling/simulation (ABS) approaches are reviewed from the production planning and control prospective. These approaches will provide some guidelines for the development of advanced factory modelling, resource flow analysis and assisting the identification of improvement potentials, in order to achieve more sustainable manufacturing