For the first time ever, five-time number-one RE/MAX agent worldwide, Jordan Cohen, reveals his secret sales strategies that will elevate your real estate sales career to the highest levels. Jordan Cohen started out selling entry-level houses in Southern California over thirty years ago, before transitioning to the luxury market. Always working alone as an individual agent without a partner or a team, he consistently sets new sales records year after year, including 2021 where he closed over $314 million in residential real estate. In The Agent’s Edge, he teaches agents of all levels how to win listings, take advantage of every opportunity and make your fortune in the fast-paced, exciting world of real estate sales. Whether you’ve been in the business for decades, are just starting out, or somewhere in between, these strategies will work for you. In this powerful and entertaining guide with a heartwarming forward from Sylvester Stallone, Jordan shows you how to set yourself apart from the competition to attract sellers and win listings. He walks you through every aspect of a successful listing presentation and includes examples and stories from some of the famous athletes and celebrities he has represented including NFL stars Aaron Donald and Marcus Allen, rock star Bret Michaels, WWE superstar The Miz, and many more. Jordan’s lessons apply to real estate agents of all levels and all companies and work in any market. Topics covered include: How to Win Every Listing Interview Marketing Yourself and Your Listings to Succeed Tapping into the Power of Social Media (featuring Broke Agent Media’s Eric Simon and Matt Lionetti) Strategically Putting the “Agent” in Real Estate Agent Turning Tired Old Techniques into Cutting Edge Strategies That Work The Big Pay-off That Makes Real Estate More than a Great Career

Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.

Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work together in a coordinated fashion. The problem is challenging because communication channels have limited range and there are possibilities of fading and dropout. The book comprises chapters on synchronization and consensus in multiagent systems. It shows that the joint presentation of synchronization and consensus enables readers to learn about similarities and differences of both concepts. It reviews the cooperative control of multi-agent dynamical systems interconnected by a communication network topology. Using the terminology of cooperative control, each system is endowed with its own state variable and dynamics. A fundamental problem in multi-agent dynamical systems on networks is the design of distributed protocols that guarantee consensus or synchronization in the sense that the states of all the systems reach the same value. It is evident from the results that research in multiagent systems offer opportunities for further developments in theoretical, simulation and implementations. This book attempts to fill this gap and aims at presenting a comprehensive volume that documents theoretical aspects and practical applications.

A comprehensive guide to formation control of multi-agent systems using rigid graph theory This book is the first to provide a comprehensive and unified treatment of the subject of graph rigidity-based formation control of multi-agent systems. Such systems are relevant to a variety of emerging engineering applications, including unmanned robotic vehicles and mobile sensor networks. Graph theory, and rigid graphs in particular, provides a natural tool for describing the multi-agent formation shape as well as the inter-agent sensing, communication, and control topology. Beginning with an introduction to rigid graph theory, the contents of the book are organized by the agent dynamic model (single integrator, double integrator, and mechanical dynamics) and by the type of formation problem (formation acquisition, formation manoeuvring, and target interception). The book presents the material in ascending level of difficulty and in a self-contained manner; thus, facilitating reader understanding. Key features: Uses the concept of graph rigidity as the basis for describing the multi-agent formation geometry and solving formation control problems. Considers different agent models and formation control problems. Control designs throughout the book progressively build upon each other. Provides a primer on rigid graph theory. Combines theory, computer simulations, and experimental results. Formation Control of Multi-Agent Systems: A Graph Rigidity Approach is targeted at researchers and graduate students in the areas of control systems and robotics. Prerequisite knowledge includes linear algebra, matrix theory, control systems, and nonlinear systems.

This book constitutes the refereed proceedings of the 20th International Symposium on Distributed Computing, DISC 2006. The book presents 35 revised full papers together with 1 invited paper and 13 announcements of ongoing works, all carefully selected for inclusion in the book. The entire scope of current issues in distributed computing is addressed, ranging from foundational and theoretical topics to algorithms and systems issues and to applications in various fields.

This book constitutes the refereed proceedings of the 21st International Colloquium on Structural Information and Communication Complexity, SIROCCO 2014, held in Takayama, Japan, in July 2014. The 24 full papers presented together with 5 invited talks were carefully reviewed and selected from 51 submissions. The focus of the colloquium is on following subjects Shared Memory and Multiparty Communication, Network Optimization, CONGEST Algorithms and Lower Bounds, Wireless networks, Aggregation and Creation Games in Networks, Patrolling and Barrier Coverage, Exploration, Rendevous and Mobile Agents.

This book constitutes the thoroughly refereed post-workshop proceedings of the 10th Pacific Rim International Workshop on Multi-Agents, PRIMA 2007, held in Bankok, Thailand, in November 2007. The 22 revised full papers and 16 revised short papers presented together with 11 application papers were carefully reviewed and selected from 102 submissions. Ranging from theoretical and methodological issues to various applications in different fields, the papers address many current subjects in multi-agent research and development,

A journal devoted to insurance and the industries.

Includes the decisions of the Supreme Courts of Massachusetts, Ohio, Indiana, and Illinois, and Court of Appeals of New York; May/July 1891-Mar./Apr. 1936, Appellate Court of Indiana; Dec. 1926/Feb. 1927-Mar./Apr. 1936, Courts of Appeals of Ohio.