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Articles 1 - 11 of 11
Full-Text Articles in Physical Sciences and Mathematics
A Dynamic Behavioural Traffic Assignment Model With Strategic Agents, Johan Barthelemy, Timoteo Carletti
A Dynamic Behavioural Traffic Assignment Model With Strategic Agents, Johan Barthelemy, Timoteo Carletti
SMART Infrastructure Facility - Papers
Foresee traffic conditions and demand is a major issue nowadays that is very often approached using simulation tools. The aim of this work is to propose an innovative strategy to tackle such problem, relying on the presentation and analysis of a behavioural dynamic traffic assignment. The proposal relies on the assumption that travellers take routing policies rather than paths, leading us to introduce the possibility for each simulated agent to apply, in real time, a strategy allowing him to possibly re-route his path depending on the perceived local traffic conditions, jam and/or time already spent in his journey. The re-routing …
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotics, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotics, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
SMART Infrastructure Facility - Papers
Ambient systems are populated by many heterogeneous devices to provide adequate services to their users. The adaptation of an ambient system to the specific needs of its users is a challenging task. Because human-system interaction has to be as natural as possible, we propose an approach based on Learning from Demonstration (LfD). LfD is an interesting approach to generalize what has been observed during the demonstration to similar situations. However, using LfD in ambient systems needs adaptivity of the learning technique. We present ALEX, a multi-agent system able to dynamically learn and reuse contexts from demonstrations performed by a tutor. …
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotic, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
Principles And Experimentations Of Self-Organizing Embedded Agents Allowing Learning From Demonstration In Ambient Robotic, Nicolas R. Verstaevel, Christine Regis, Marie-Pierre Gleizes, Fabrice Robert
SMART Infrastructure Facility - Papers
Ambient systems are populated by many heterogeneous devices to provide adequate services to its users. The adaptation of an ambient system to the specific needs of its users is a challenging task. Because human-system interaction has to be as natural as possible, we propose an approach based on Learning from Demonstration (LfD). However, using LfD in ambient systems needs adaptivity of the learning technique. We present ALEX, a multi-agent system able to dynamically learn and reuse contexts from demonstrations performed by a tutor. Results of experiments performed on both a real and a virtual robot show interesting properties of our …
Revealing Indigenous Indonesian Traditional Medicine: Anti-Infective Agents, Paul A. Keller, Ari Satia Nugraha
Revealing Indigenous Indonesian Traditional Medicine: Anti-Infective Agents, Paul A. Keller, Ari Satia Nugraha
Faculty of Science - Papers (Archive)
Indonesia is rich in medicinal plants which the population has used traditionally from generation to generation for curing diseases. Our interest in the treatment of infectious diseases has lead to the investigation of traditional Indonesian treatments. In this review, we present a comprehensive review of ethnopharmacologically directed screening in Indonesian medicinal plants to search for new anti-viral, antimalarial, anti-bacterial and anti-fungal agents. Some potent drug leads have been isolated from Indonesian medicinal plants. Further research is still required for the lead development as well as the search for new bioactive compounds from the enormous medicinal plant resources.
Modelling Awareness Of Agents Using Policies, Amir Talaei-Khoei, Pradeep Ray, Nandan Parameswaran, Ghassan Beydoun
Modelling Awareness Of Agents Using Policies, Amir Talaei-Khoei, Pradeep Ray, Nandan Parameswaran, Ghassan Beydoun
Faculty of Informatics - Papers (Archive)
In addition to cooperation, research in disaster management exposes the need for policy awareness to recognize relevant information in enhancing cooperation. Intelligent software agents have previously been employed for problem solving in disaster situations but without incorporating how the agents can create or model awareness. This paper presents an awareness based modelling method, called MAAP, to maintain awareness of software agents of a given set of policies. The paper presents preliminary results indicating that the use of policies as a source of awareness, as facilitated by MAAP, is a potentially effective method to enhance cooperation.
Implementing Reactive Bdi Agents With User-Given Constraints And Objectives, Aniruddha Dasgupta, Aditya K. Ghose
Implementing Reactive Bdi Agents With User-Given Constraints And Objectives, Aniruddha Dasgupta, Aditya K. Ghose
Faculty of Informatics - Papers (Archive)
CASO is an agent-oriented programming language based on AgentSpeak(L), one of the most influential abstract languages based on the beliefs-desires-intentions (BDI) architecture. For many applications, it is more convenient to let the user provide in real time, a more elaborate specification consisting of constraints and preferences over possible goal states. Then, let the system discover a plan for the most desirable among the feasible goal states. CASO incorporates constraints and objectives into the symbolic approach of reactive BDI model which lead to better expressive capabilities as well as more efficient computation. Jason is a fully-fledged interpreter for a much improved …
Secure Mobile Agents With Designated Hosts, Qi Zhang, Yi Mu, Minjie Zhang, Robert H. Deng
Secure Mobile Agents With Designated Hosts, Qi Zhang, Yi Mu, Minjie Zhang, Robert H. Deng
Faculty of Informatics - Papers (Archive)
Mobile agents often travel in a hostile environment where their security and privacy could be compromised by any party including remote hosts in which agents visit and get services. It was proposed in the literature that the host visited by an agent should jointly sign a service agreement with the agent's home, where a proxy-signing model was deployed and every host in the agent system can sign. We observe that this actually poses a serious problem in that a host that should be excluded from an underlying agent network could also send a signed service agreement. In order to solve …
P2p Distributed Intrusion Detections By Using Mobile Agents, Dayong Ye, Quan Bai, Minjie Zhang, Zhen Ye
P2p Distributed Intrusion Detections By Using Mobile Agents, Dayong Ye, Quan Bai, Minjie Zhang, Zhen Ye
Faculty of Informatics - Papers (Archive)
Traditional hierarchical intrusion detection systems have a central manager which attracts hackers to attack and might overload when there are too many client requests. To overcome these drawbacks, some researchers suggested to apply Peer-to-Peer approaches in intrusion detection. Most current Peer-to-Peer intrusion detection systems only allow hosts to collect related information from "neighbours" (one hop hosts). The limitation of information sources may lead a system to make inaccurate decisions. In this paper, we propose a Mobile Agent Based Peer-to-Peer Distributed Intrusion Detection Framework. Agents are included in this framework to achieve intrusion detections. In addition, a mobile agent migration strategy …
Diffusion And Social Networks: Revisiting Medical Innovation With Agents, Pascal Perez, N Ratna, A Dray, Q Grafton, D Newth, T Kompas
Diffusion And Social Networks: Revisiting Medical Innovation With Agents, Pascal Perez, N Ratna, A Dray, Q Grafton, D Newth, T Kompas
SMART Infrastructure Facility - Papers
the classic study on diffusion of Tetracycline by Coleman, Katz and Menzel (1966). Medical Innovation articulates how different patterns of interpersonal communications can influence the diffusion process at different stages of adoption. In their pioneering study, individual network (discussion, friendship or advice) was perceived as a set of disjointed pairs, and the extent of influences were therefore, evaluated for pairs of individuals. Given the existence of overlapping networks and consequent influences on doctors’ adoption decisions, the complexity of actual events was not captured by pair analysis. Subsequent reanalyses (Burt 1987, Strang and Tuma 1993, Valente 1995, Van den Bulte and …
Some Approaches To New Antibacterial Agents, John B. Bremner
Some Approaches To New Antibacterial Agents, John B. Bremner
Faculty of Science - Papers (Archive)
Bacteria use a number of resistance mechanisms to counter the antibacterial challenge, and one of these is the expression of transmembrane protein-based efflux pumps which can pump out antibacterials from within the cells, thus lowering the antibacterial concentration to nonlethal levels. For example, in S. aureus, the NorA pump can pump out the antibacterial alkaloid berberine and ciprofloxacin. One general strategy to reduce the health threat of resistant bacteria is to block a major bacterial resistance mechanism at the same time as interfering with another bacterial pathway or target site. New developments of this approach in the context of dual-action …
Agents, Idols, And Icons, Pascal Perez
Agents, Idols, And Icons, Pascal Perez
SMART Infrastructure Facility - Papers
Since the early 1960s, Artificial Intelligence has cherished the ambition to design an artificial cognitive machine able to reproduce intimate aspects of human behaviour. Distributed Artificial Intelligence and its most recent avatars—Multi- Agent Systems—have developed the concept towards social interactions and societal dynamics, attracting the attention of sociologists and ethnographers who found new ways to elaborate or validate their theories. But populations of cognitive agents aren’t the real thing, despite the efforts of their designers. Furthermore, one must cautiously examine the rationale behind these often incredibly complex arrangements of algorithms, in order to assess the usefulness of such exercises. As …