物件導向軟體之架構(Object-Oriented Software Construction)探討

An Introduction to MultiAgent Systems.

This chapter discusses leading problems linked to energy that the world is now confronting and to propose some ideas concerning possible solutions. Oil deserves special attention among all energy sources. Since the beginning of 1981, it has merely been continuing and enhancing the downward movement in consumption and prices caused by excessive rises, especially for light crudes such as those from Africa, and the slowing down of worldwide economic growth. Densely-populated oil-producing countries need to produce to live, to pay for their food and their equipment. If the economic growth of the industrialized countries were to be 4%, even if investment in the rational use of energy were pushed to the limit and the development of nonpetroleum energy sources were also pursued actively, it would be extremely difficult to prevent a sharp rise in prices. It is evident that it is absolutely necessary to pursue actively the development of coal, natural gas, and nuclear power if a physical shortage of energy is not to block economic growth.

World energy outlook

Methods and systems consistent with the present invention provide a data processing system having a business object model reflecting the data used during a business transaction. Consistent interfaces are generated from the business object model. These interfaces are suitable for use across industries, across businesses, and across different departments within a business during a business transaction.

Consistent set of interfaces derived from a business object model

https://bibliotecadigital.ipb.pt/bitstream/10198/1536/4/Agent-based%20distributed%20manufacturing%20control.pdf

Agent-based distributed manufacturing control: A state-of-the-art survey

Renewable energy sources are one key enabler to decrease greenhouse gas emissions and to cope with the anthropogenic climate change. Their intermittent behavior and limited storage capabilities present a new challenge to power system operators to maintain power quality and reliability. Additional technical complexity arises from the large number of small distributed generation units and their allocation within the power system. Market liberalization and changing regulatory framework lead to additional organizational complexity. As a result, the design and operation of the future electric energy system have to be redefined. Sophisticated information and communication architectures, automation concepts, and control approaches are necessary in order to manage the higher complexity of so-called smart grids. This paper provides an overview of the state of the art and recent developments enabling higher intelligence in future smart grids. The integration of renewable sources and storage systems into the power grids is analyzed. Energy management and demand response methods and important automation paradigms and domain standards are also reviewed.

/pdf/a-review-of-architectures-and-concepts-for-intelligence-in-q9us8r0svw.pdf

A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems

We developed new class of approaches to manufacturing and supply chain decision making. These approaches employ multiagent systems, which consist of a set of intelligent agents hosted on an appropriate software platform. Agent-based technology can potentially solve complex, dynamic decision processes that are distributed. By enabling networks of autonomous yet interacting reasoning elements, this technology provides an alternative to the centralized systems prevailing in industry.

Industrial adoption of agent-based technologies

Invited Talks.- Making Agents Acceptable to People.- Coalition Formation: Towards Feasible Solutions Abstract of a Key-Note Speech.- Coalition Task Support Using I-X and ?I-N-C-A?.- Formal Methods.- Towards Motivation-Based Decisions for Worth Goals.- Modal Structure for Agents Interaction Based on Concurrent Actions.- A Multi-agent Modal Language for Concurrency with Non-communicating Agents.- Self-Synchronization of Cooperative Agents in a Distributed Environment.- MIP-Nets: A Compositional Model of Multiagent Interaction.- Social Knowledge & Meta-Reasoning.- Calibrating Collective Commitments.- Abstract Architecture for Meta-reasoning in Multi-agent Systems.- Balancing Individual Capabilities and Social Peer Pressure for Role Adoption.- From Social Agents to Multi-agent Systems: Preliminary Report.- Negotiation & Policies.- DAML-Based Policy Enforcement for Semantic Data Transformation and Filtering in Multi-agent Systems.- Architectures for Negotiating Agents.- RIO : Roles, Interactions and Organizations.- Conversation Mining in Multi-agent Systems.- Ontologies & Languages.- The Knowledge Market: Agent-Mediated Knowledge Sharing.- Ontology of Cooperating Agents by Means of Knowledge Components.- Mapping between Ontologies in Agent Communication.- A Social ACL Semantics by Deontic Constraints.- A Formal Specification Language for Agent Conversations.- Planning.- Framework for Multi-agent Planning Based on Hybrid Automata.- Multi-agent System for Resource Allocation and Scheduling.- Towards Autonomous Decision Making in Multi-agent Environments Using Fuzzy Logic.- Towards an Object Oriented Implementation of Belief-Goal-Role Multi-agent Systems.- Coalitions.- Fuzzy Coalition Formation among Rational Cooperative Agents.- Multi-agent Simulation of Work Teams.- Multi-agent Knowledge Logistics System "KSNet": Implementation and Case Study for Coalition Operations.- Evolution & Emergent Behavior.- Learning User Preferences for Multi-attribute Negotiation: An Evolutionary Approach.- A Model of Co-evolution in Multi-agent System.- Emergence of Specialized Behavior in a Pursuit-Evasion Game.- On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor.- Forgiveness in Strategies in Noisy Multi-agent Environments.- Platforms.- An Unified Framework for Programming Autonomous, Intelligent and Mobile Agents.- Tailoring an Agent Architecture to a Flexible Platform Suitable for Cooperative Robotics.- Airports for Agents: An Open MAS Infrastructure for Mobile Agents.- Beyond Prototyping in the Factory of Agents.- Agent Oriented Software Engineering with INGENIAS.- Protocols.- Requirement Analysis for Interaction Protocols.- Engineering a Protocol Server Using Strategy-Agents.- Refinement of Open Protocols for Modelling and Analysis of Complex Interactions in Multi-agent Systems.- Security.- Biological Approach to System Information Security (BASIS): A Multi-agent Approach to Information Security.- Adaptive Agents Applied to Intrusion Detection.- Communication Security in Multi-agent Systems.- Teamwork of Hackers-Agents: Modeling and Simulation of Coordinated Distributed Attacks on Computer Networks.- Real-Time & Synchronization.- Formal Modeling of Dynamic Environments for Real-Time Agents.- Deliberative Server for Real-Time Agents.- Regional Synchronization for Simultaneous Actions in Situated Multi-agent Systems.- A Multi-agent System for Dynamic Network Reconfiguration.- Industrial Applications.- A Highly Distributed Intelligent Multi-agent Architecture for Industrial Automation.- The Cambridge Packing Cell - A Holonic Enterprise Demonstrator.- Towards Autonomy, Self-Organisation and Learning in Holonic Manufacturing.- An Agent-Based Personalized Producer/Consumer Scenario.- Application of Intelligent Agents in Power Industry: Promises and Complex Issues.- E-business & Virtual Enterprises.- Brokering in Electronic Insurance Markets.- Modelling Electronic Organizations.- The Use of Adaptive Negotiation by a Shopping Agent in Agent-Mediated Electronic Commerce.- Agent Interaction Protocols for the Selection of Partners for Virtual Enterprises.- Web & Mobile Agents.- A Multiagent-Based Peer-to-Peer Network in Java for Distributed Spam Filtering.- Engineering Web Service Invocations from Agent Systems.- A Component Based Multi-agent Architecture to Support Mobile Business Processes.- Code Complexity Metrics for Mobile Agents Implemented with Aspect/J(TM).

Multi-Agent Systems and Applications III

Industrial agents technology leverages the benefits of multiagent systems, distributed computing, artificial intelligence techniques and semantics in the field of production, services and infrastructure sectors, providing a new way to design and engineer control solutions based on the decentralization of control over distributed structures. The key drivers for this application are the benefits of agent-based industrial systems, namely in terms of robustness, scalability, reconfigurability and productivity, all of which translate to a greater competitive advantage. This manuscript monitors the chronology of research and development of the industrial applications of multiagent and holonic systems. It provides the comprehensive overview of methodologies, architectures and applications of agents in industrial domain from early nineties up to present. It also gives an outlook of the current trends as well as challenges and possible future application domains of industrial agents.

Past, Present, and Future of Industrial Agent Applications

Foundations of Multi-agent Systems.- Perspectives on Organizations in Multi-agent Systems.- Multi-agent Infrastructure, Agent Discovery, Middle Agents for Web Services and Interoperation.- Logical Foundations of Agent-Based Computing.- Standardizing Agent Communication.- Standardizing Agent Interoperability: The FIPA Approach.- Distributed Problem Solving and Planning.- Automated Negotiation and Decision Making in Multiagent Environments.- Agents? Advanced Features for Negotiation and Coordination.- Social Behaviour, Meta-reasoning, and Learning.- Towards Heterogeneous Agent Teams.- Social Knowledge in Multi-agent Systems.- Machine Learning and Inductive Logic Programming for Multi-agent Systems.- Relational Reinforcement Learning.- From Statistics to Emergence: Exercises in Systems Modularity.- Emotions and Agents.- Applications.- Multi-agent Coordination and Control Using Stigmergy Applied to Manufacturing Control.- Virtual Enterprise Modeling and Support Infrastructures: Applying Multi-agent System Approaches.- Specialised Agent Applications.- Agent-Based Modelling of Ecosystems for Sustainable Resource Management.- Cooperating Physical Robots: A Lesson in Playing Robotic Soccer.- A Multi-agent Study of Interethnic Cooperation.

Vladimir Marik

Papers

A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems

Industrial adoption of agent-based technologies

Multi-Agent Systems and Applications III

Past, Present, and Future of Industrial Agent Applications

Multi-Agent Systems and Applications