Social Situatedness: Vygotsky and Beyond

The concept of ‘social situatedness’, i.e. the idea that the development of individual intelligence requires a social (and cultural) embedding, has recently received much attention in cognitive science and artificial intelligence research. The work of Lev Vygotsky who put forward this view already in the 1920s has influenced the discussion to some degree, but still remains far from well known. This paper therefore aims to give an overview of his cognitive development theory and discuss its relation to more recent work in primatology and socially situated artificial intelligence, in particular humanoid robotics

Man and Machine: Questions of Risk, Trust and Accountability in Today's AI Technology

Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with commerce and society. Today's AI technology, such as expert systems and intelligent assistants, pose some difficult questions of risk, trust and accountability. In this paper, we present these concerns, examining them in the context of historical developments that have shaped the nature and direction of AI research. We also suggest the exploration and further development of two paradigms, human intelligence-machine cooperation, and a sociological view of intelligence, which might help address some of these concerns.Comment: Preprin

Artificial intelligence in advertising and the consumer journey to purchase

The present research is dedicated to the possible uses of artificial intelligence in business and in particular – for marketing purposes. Attention is drawn to the importance of artificial intelligence algorithms in the field of advertising and its impact the consumer journey to purchase. A brief overview of models reflecting the impact of advertising on this process is presented. An author's view of the possible application of artificial intelligence at each stage of the consumer experience that forms the journey to purchase in a digital environment is presented. It is concluded that artificial intelligence has the potential to improve advertising efficacy and consumer experience

Value Creation in Connectionist Artificial Intelligence – A Research Agenda

Artificial Intelligence enables innovative applications, and applications based on Artificial Intelligence are increasingly important for all aspects of the Digital Economy. However, the question of how AI resources such as tools and data can be linked to provide an AI-capability and create business value is still open. Therefore, this paper identifies the value-creating mechanisms of connectionist artificial intelligence using a capability-oriented view and points out the connections to different kinds of business value. The analysis supports an agenda that identifies areas that need further research to understand the mechanism of value creation in connectionist artificial intelligence

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.

Simon's Bounded Rationality. Origins and use in economic theory

The paper aims to show how Simon's notion of bounded rationality should be interpreted in the light of its connection with artificial intelligence. This connection points out that bounded rationality is a highly structured concept, and sheds light on several implications of Simon's general views on rationality. Finally, offering three paradigmatic examples, the artic1e presents the view that recent approaches, which refer to Simon's heterodox theory, only partially accept the teachings of their inspirer, splitting bounded rationality from the context of artificl al intelligence.

Telerobot task planning and reasoning: Introduction to JPL artificial intelligence research

A view of the capabilities and areas of artificial intelligence research which are required for autonomous space telerobotics extending through the year 2000 is given. In the coming years, JPL will be conducting directed research to achieve these capabilities, as well as drawing heavily on collaborative efforts conducted with other research laboratories

A Measure of All Minds: A Classification of the Artificial Intelligence Strengths and Virtues & the Creation of the THETIS Dimensions of Cybernetic Wellbeing

Artificial intelligence has generated more ambivalence than any technology in human history. As Silicon Valley enters the third decade of its self-proclaimed era of artificial intelligence, there is still surprisingly little agreement about the nature of the 21st century’s defining invention, and even less about how our relationship with this seminal technology should be managed in the future. Positive psychology offers software engineers methods to cultivate a greater understanding of the unique strengths of the artificial intelligence programs they develop, as well as the effects to wellbeing triggered by the applications they deploy. In this paper, I will propose three tools inspired by my chosen field of study for use by artificial intelligence innovators: (a) a classification of the artificial intelligence strengths and virtues; (b) the THETIS dimensions of cybernetic wellbeing, and; (c) the definition of a positive existential posthuman philosophy of artificial intelligence design. The philosophy of positive psychology is perhaps most succinctly summarized with a single phrase: “other people matter.” If Silicon Valley is to deliver a clearer and more compelling vision of the future of artificial intelligence—one in which human and machine agents work and thrive in collaborative harmony—then it must update its innovation practices to embrace a similarly transformative point of view: “other consciousnesses matter,” too