The Journal of ERW and Mine Action Issue 11.1 (2007)

Feature: Eastern Europe & Caucasus | Focus: Capacity Development | Country Profiles | Research & Developmen

SiMAMT: A Framework for Strategy-Based Multi-Agent Multi-Team Systems

Multi-agent multi-team systems are commonly seen in environments where hierarchical layers of goals are at play. For example, theater-wide combat scenarios where multiple levels of command and control are required for proper execution of goals from the general to the foot soldier. Similar structures can be seen in game environments, where agents work together as teams to compete with other teams. The different agents within the same team must, while maintaining their own ‘personality’, work together and coordinate with each other to achieve a common team goal. This research develops strategy-based multi-agent multi-team systems, where strategy is framed as an instrument at the team level to coordinate the multiple agents of a team in a cohesive way. A formal specification of strategy and strategy-based multi-agent multi-team systems is provided. A framework is developed called SiMAMT (strategy- based multi-agent multi-team systems). The different components of the framework, including strategy simulation, strategy inference, strategy evaluation, and strategy selection are described. A graph-matching approximation algorithm is also developed to support effective and efficient strategy inference. Examples and experimental results are given throughout to illustrate the proposed framework, including each of its composite elements, and its overall efficacy. This research make several contributions to the field of multi-agent multi-team systems: a specification for strategy and strategy-based systems, and a framework for implementing them in real-world, interactive-time scenarios; a robust simulation space for such complex and intricate interaction; an approximation algorithm that allows for strategy inference within these systems in interactive-time; experimental results that verify the various sub-elements along with a full-scale integration experiment showing the efficacy of the proposed framework

2nd Meeting of the States Parties to the Anti-Personnel Mine Ban Convention (2000)

Geneva, 11-15 September 2000 SECOND MEETING OF THE STATES PARTIES TO THE CONVENTION ON THE PROHIBITION OF THE USE, STOCKPILING, PRODUCTION AND TRANSFER OF ANTI-PERSONNEL MINES AND ON THEIR DESTRUCTIO

Tools and Algorithms for the Construction and Analysis of Systems

This book is Open Access under a CC BY licence. The LNCS 11427 and 11428 proceedings set constitutes the proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2019, which took place in Prague, Czech Republic, in April 2019, held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019. The total of 42 full and 8 short tool demo papers presented in these volumes was carefully reviewed and selected from 164 submissions. The papers are organized in topical sections as follows: Part I: SAT and SMT, SAT solving and theorem proving; verification and analysis; model checking; tool demo; and machine learning. Part II: concurrent and distributed systems; monitoring and runtime verification; hybrid and stochastic systems; synthesis; symbolic verification; and safety and fault-tolerant systems

Clearing the Mines 2021

As at 1 October 2021, 56 States and 3 other areas (territories that are not internationally recognised as States) were contaminated by anti-personnel mines, as listed in Table 1. Asia (including the Middle East) is the most affected continent, with 23 mine-contaminated States. Most are not party to the APMBC. Across Asia (including the Middle East), Afghanistan, Cambodia, Iraq, Oman, Palestine, Sri Lanka, Tajikistan, Thailand, and Yemen are all States Parties. China, India, Iran, Israel, Kyrgyzstan, the Lao People’s Democratic Republic (Lao PDR), Lebanon, Myanmar, the Democratic People’s Republic of Korea (North Korea), Pakistan, the Republic of Korea (South Korea), Syria, Uzbekistan, and Vietnam are all States not party

The Journal of Mine Action Issue 5.1 (2001)

The Journal of Mine Action Issue 5.1 Landmines in Asia and the Pacifi

Mine Detection Dogs: Training, Operations and Odour Detection

The use of dogs for mine detection has expanded dramatically in the last ten years. However, research designed to explore and understand the issues underlying mine dog detection has not kept pace with that expansion. A poor knowledge base was recognised as a key limitation on further development and exploitation of this fascinating detection technology. The GICHD therefore accepted the challenge of initiating a programme of research on mine detection dogs, with the specific objectives of (1) improving understanding of the skills and limitations of dogs, (2) optimising their deployment and performance, and (3) raising confidence in their work. This book is the first extensive overview of that programme of research, which has produced considerable success but also encountered some difficulties. Several projects are still underway and are not reported on in detail here. Some areas of research are still raising more questions than providing answers, and there is much more to be done. The book is therefore as much a report on work in progress as on completed projects. It provides valuable reviews of current knowledge in key areas, an up-to-date summary of topical issues, some historical perspectives and some empirical results. I invite you to explore the book with an eye on what remains to be achieved, as well as on the details within the chapters

The Journal of ERW and Mine Action Issue 10.1 (2006)

Feature: Explosive Remnants of War | Focus: Africa | Profiles | Making it Personal | Notes from the Field | Research and Developmen