Small & Simple

Author(s):  
Michael Barlow ◽  
Robert Cox

This chapter discusses the use of abstract multi-agent models of conflict — ABDs (Agent-Based Distillation) — for security and defense purposes. The chapter promotes a complex-systems, bottom-up approach to modeling conflict in a highly abstracted manner. Three ABDs drawn from three application areas – Operations Analysis, Wargaming (decision support) and Counter-Terrorist Activity — are used as illustrations. The history, philosophy and design approach of ABDs are discussed, including the key features of abstraction, bottom-up modeling, ease of use and rapid exploration of the parameter space of a problem. Challenges facing the successful design, implementation and deployment of ABDs are discussed, including appropriate level of abstraction, validation, acceptance, parameter setting and understanding of the range of outcomes generated. The Conceptual Research Oriented Combat Agent Distillation Implemented in the Littoral Environment (CROCADILE) ABD is used to illustrate the design of an ABD, highlighting that they are not complex pieces ofsoftware by military simulation standards. A patrol scenario is constructed in which a team of patrolling agents seeks to intercept an infiltrator crossing a border. The relative benefits of increasing sensor and communication capabilities of the patrol are explored in terms of the patrol’s ability to successfully intercept the infiltrator. The Tactical Decision Support System (TDSS) ABD shows a different application of the technology — in this case, wargaming Courses Of Action (COA). An experiment is described utilizing officers from the Australian Royal Military College to wargame COA using both traditional and TDSS approaches. For the TDSS approach, significant improvement in outcomes across a range of criteria was found by both the officers using the system and the evaluating staff. Finally, the System for Life and Intelligence Modeling (SLIM) ABD is used to explore the consequences of a government’s arrest policies in a homeland defense scenario. The model incorporates different geographic regions (homeland, foreign deployment, etc.), borders, terrorists, civilians, police, military, forensic evidence and bomb attacks. The consequences of lowering or raising the arrest threshold in terms of the amount of evidence required against an individual agent are shown in terms of bomb attacks, deaths, terrorists arrested and civilians wrongly arrested.

2018 ◽  
Vol 7 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Martina Husáková

Abstract Complex systems are characterised by a huge amount of components, which are highly linked with each other. Tourism is one of the examples of complex systems collecting various activities leading to the enrichment of travellers in the view of receiving new experiences and increasing economic prosperity of specific destinations. The complex systems can be investigated with various bottom-up and top-down approaches. The multi-agent-based modelling is the bottom-up approach that is focused on the representation of individual entities for the exploration of possible interactions among them and their effects on surrounding environments. These systems are able to integrate knowledge of socio-cultural, economic, physical, biological or environmental systems for in-silico models development, which can be used for experimentation with a system. The main aim of the presented text is to introduce links between tourism, complexity and to advocate usefulness of the multi-agent-based systems for the exploration of tourism and its sustainability. The evaluation of suitability of the multi-agent systems in tourism is based on the investigation of fundamental characteristics of these two systems and on the review of specific applications of the multi-agent systems in sustainable tourism.


2019 ◽  
Vol 22 (6) ◽  
pp. 1467-1485 ◽  
Author(s):  
Juan Du ◽  
Hengqing Jing ◽  
Kim-Kwang Raymond Choo ◽  
Vijayan Sugumaran ◽  
Daniel Castro-Lacouture

2012 ◽  
Vol 241-244 ◽  
pp. 1745-1750
Author(s):  
Nan Nan Yan ◽  
Di Zheng

This paper mainly concentrated on the method of improving the dispatching trucks working at a container terminal and built the multi-agent model for the dispatching job. The contract net protocol was taken as the communication ones among agents, and the analytic hierarchy process was also applied for the decision support for container trucks dispatching.


2013 ◽  
Vol 16 (02n03) ◽  
pp. 1350029 ◽  
Author(s):  
KIRSTY KITTO ◽  
FABIO BOSCHETTI

Sophisticated models of human social behavior are fast becoming highly desirable in an increasingly complex and interrelated world. Here, we propose that rather than taking established theories from the physical sciences and naively mapping them into the social world, the advanced concepts and theories of social psychology should be taken as a starting point, and used to develop a new modeling methodology. In order to illustrate how such an approach might be carried out, we attempt to model the low elaboration attitude changes of a society of agents in an evolving social context. We propose a geometric model of an agent in context, where individual agent attitudes are seen to self-organize to form ideologies, which then serve to guide further agent-based attitude changes. A computational implementation of the model is shown to exhibit a number of interesting phenomena, including a tendency for a measure of the entropy in the system to decrease, and a potential for externally guiding a population of agents toward a new desired ideology.


Author(s):  
Tiago Pinto ◽  
Zita Vale

This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computing, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations. AiD-EM demonstration is enabled by its connection to MASCEM (Multi-Agent Simulator of Competitive Electricity Markets).


Sign in / Sign up

Export Citation Format

Share Document