Electronic tourism

The constant development in technology, communication and particularly the Internet, has revolutionized the entire tourism industry, by generating new business models, restructuring the distribution channels, reshaping the production process involved in tourism industry and last but not least has influenced the suppliers of touristic services as well as the stakeholders. In this work I have tried to enhance the implications of electronic tourism for the visitors, the tourism operators, highlighting the informational systems which serve the touristic services. E-tourism comes to support the tourists by providing specialized sites and software which reduce the time necessary for the touristic destinations , making easier the process of booking or renting a car or help planning the trip and making a decision. One of the most common problems associated with the developing distribution is the large amount of information available for the client and to be able to explore it, I have presented intelligent agents with all the advantages this new artificial technology brings along.e-tourism, portal, intelligent agents.

From supply chains to demand networks. Agents in retailing: the electrical bazaar

A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version

Efficient Order and Resource Coordination in Mass Customization

Mass customization manufacturing systems require a high level of adaptability and flexibility in production – especially in production planning and control. In particular, the Coordination of orders and resources is critical, because of the high volatility and the make to order principle. Multi-agent systems theoretically provide the required features to handle that complexity, but a lack of informational integration and organizational incompatibilities lead to low applicability. The application of Internet Technology provides the necessary interoperability and organizational alignment to support an overall application of multi-agent systems in mass customization.Mass Customization; Internet Technologies; Multi Agent Systems; Production Planning and Control

Creativity In Conscience Society

Creativity is a result of brain activity which differentiates individuals and could ensure an important competitive advantage for persons, for companies, and for Society in general. Very innovative branches – like software industry, computer industry, car industry – consider creativity as the key of business success. Natural Intelligence Creativity can develop basic creative activities, but Artificial Intelligence Creativity, and, especially, Conscience Intelligence Creativity should be developed and they could be enhanced over the level of Natural Intelligence. Providing only neurological research still does not offer a scientific basis for understanding creativity but thousand years of creative natural intelligence behavior observations offer some algorithms, models, methods, guidelines and procedures which could be used successfully in Conscience Society Creativity. Present Essay discusses the evolution of the notion of Creativity (what it is, why it is important, where it is used), analyzes creativity from basic point of view (Creativity as a Brain Activity; Mastering Daily Life; Creativity and Profession; Piirto’s six Steps; When and where Creativity Occurs; How Creative People are looked upon), and also manages Individual Creativity and Company Goals (Individual Creativity; Teams, Creativity and Product Development; Company’s Product Development Goals; Entrepreneur’s and Small Companies’ Product Development).creativity, intuition, spirituality, conscience society, natural intelligence, artificial intelligence.

Generating Rembrandt: Artificial Intelligence, Copyright, and Accountability in the 3A Era--The Human-like Authors are Already Here- A New Model

Artificial intelligence (AI) systems are creative, unpredictable, independent, autonomous, rational, evolving, capable of data collection, communicative, efficient, accurate, and have free choice among alternatives. Similar to humans, AI systems can autonomously create and generate creative works. The use of AI systems in the production of works, either for personal or manufacturing purposes, has become common in the 3A era of automated, autonomous, and advanced technology. Despite this progress, there is a deep and common concern in modern society that AI technology will become uncontrollable. There is therefore a call for social and legal tools for controlling AI systems’ functions and outcomes. This Article addresses the questions of the copyrightability of artworks generated by AI systems: ownership and accountability. The Article debates who should enjoy the benefits of copyright protection and who should be responsible for the infringement of rights and damages caused by AI systems that independently produce creative works. Subsequently, this Article presents the AI Multi- Player paradigm, arguing against the imposition of these rights and responsibilities on the AI systems themselves or on the different stakeholders, mainly the programmers who develop such systems. Most importantly, this Article proposes the adoption of a new model of accountability for works generated by AI systems: the AI Work Made for Hire (WMFH) model, which views the AI system as a creative employee or independent contractor of the user. Under this proposed model, ownership, control, and responsibility would be imposed on the humans or legal entities that use AI systems and enjoy its benefits. This model accurately reflects the human-like features of AI systems; it is justified by the theories behind copyright protection; and it serves as a practical solution to assuage the fears behind AI systems. In addition, this model unveils the powers behind the operation of AI systems; hence, it efficiently imposes accountability on clearly identifiable persons or legal entities. Since AI systems are copyrightable algorithms, this Article reflects on the accountability for AI systems in other legal regimes, such as tort or criminal law and in various industries using these systems

Smart Grid for the Smart City

Modern cities are embracing cutting-edge technologies to improve the services they offer to the citizens from traffic control to the reduction of greenhouse gases and energy provisioning. In this chapter, we look at the energy sector advocating how Information and Communication Technologies (ICT) and signal processing techniques can be integrated into next generation power grids for an increased effectiveness in terms of: electrical stability, distribution, improved communication security, energy production, and utilization. In particular, we deliberate about the use of these techniques within new demand response paradigms, where communities of prosumers (e.g., households, generating part of their electricity consumption) contribute to the satisfaction of the energy demand through load balancing and peak shaving. Our discussion also covers the use of big data analytics for demand response and serious games as a tool to promote energy-efficient behaviors from end users

Can Siri 10.0 Buy Your Home? The Legal and Policy Based Implications of Artificial Intelligent Robots Owning Real Property

This Article addresses whether strong artificial intelligent robots (“AI”) should receive real property rights. More than a resource, real property promotes self-respect to natural persons such as human beings. Because of this distinction, this Article argues for limited real property rights for AIs. In developing this proposition, it examines three hypotheticals of a strong AI robot in various forms of real property ownership. The first hypothetical determines whether an AI could work as an agent in real property transactions. As robots currently act as agents in various capacities, the groundwork exists for an AI to enter this role. The second hypothetical considers whether an AI could own property in a manner similar to a corporation. In this instance, an AI would own the property in its name, but generate wealth for its shareholders and have oversight by natural persons. Corporations can acquire property as artificial persons, so too AIs could meet similar legal requirements. As such, the law should allow such ownership rights to AIs. The third hypothetical delves into whether an AI should own property outright like a natural person. After describing potential reasons for this approach, this Article explains why legal and policy-based arguments weigh against this extension of property rights to AIs. Instead, any possibility of an AI owning property like a natural person should come from Congress, not the courts

The Duality of Autonomy on Continuous Usage of Intelligent Personal Assistants (IPAs): From Agency Perspective

Based on the contradictory phenomenon of rapid development of Intelligent Personal Assistants (IPAs) embedded in smart IoT devices, this study examines the dual role of IPAs Autonomy (in terms of decision-making autonomy, scheduling autonomy and methods autonomy) in influencing users’ IPAs usage through users’ experience of agency. Drawing on agency theories, we identify two different types of experience of agency — perceived competence and perceived uncertainty. We hypothesize that these two contradictory aspects of experiences of agency would well explain the complex relationship between IPAs autonomy and IPAs usage. Scale development and data collection would be conducted for the future work. It is expected that the findings of this study could contribute to theoretical and practical implications for the design of IPAs