How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A ‘Believable’ and ‘Usable’ Multiagent-Based Simulation of Customers’ Shopping Behavior in a Mall

2006 ◽  
pp. 73-85 ◽  
Author(s):  
Walid Ali ◽  
Bernard Moulin
Keyword(s):  
Intelligent Agents ◽  
Shopping Behavior ◽  
Artificial Intelligent

The Exploration of Autonomous Vehicles

2022 ◽  
pp. 930-944
Author(s):  
Anthony J. Gephardt ◽  
Elizabeth Baoying Wang
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Intelligent Agents ◽  
Autonomous Vehicles ◽  
Learning Processes ◽  
Artificial Intelligent ◽  
The World ◽  
History Of ◽  
The Creation

This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first production automobile came about in 1885. The chapter dives into the history of auto safety, ranging from seatbelts to full-on autonomous features. One of the main focuses is the creation and implementation of artificial intelligent (AI), neural networks, intelligent agents, and deep Learning Processes. Combining the hardware on the vehicle with the intelligence of AI creates what we know as autonomous vehicles today.

Parameterizing mental model ascription across intelligent agents

2014 ◽  
Vol 15 (3) ◽  
pp. 404-425 ◽  
Author(s):  
Marjorie McShane
Keyword(s):  
Social Interactions ◽  
Intelligent Agents ◽  
Mental Model ◽  
Mental States ◽  
Virtual Patient ◽  
Prototype System ◽  
Virtual Patients ◽  
Artificial Intelligent ◽  
Value Sets ◽  
Real Patients

Mental model ascription – also called mindreading – is the process of inferring the mental states of others, which happens as a matter of course in social interactions. But although ubiquitous, mindreading is presumably a highly variable process: people mindread to different extents and with different results. We hypothesize that human mindreading ability relies on a large number of personal and contextual features: the inherent abilities of specific individuals, their current physical and mental states, their knowledge of the domain of discourse, their familiarity with the interlocutor, the risks associated with an incorrect assessment of intent, and so on. This paper presents a theory of mindreading that models diverse artificial intelligent agents using an inventory of parameters and value sets that represent traits of humans and features of discourse contexts. Examples are drawn from Maryland Virtual Patient, a prototype system that will permit medical trainees to diagnose and treat cognitively modeled virtual patients with the optional assistance of a virtual tutor. Since real patients vary greatly with respect to physiological and cognitive features, so must a society of virtual patients. Modeling such variation is one of the goals of the overall OntoAgent program of research and development.

scholarly journals IT-ethical issues in sci-fi film within the timeline of the Ethicomp conference series

2015 ◽  
Vol 13 (3/4) ◽  
pp. 314-325
Author(s):  
Anne Gerdes
Keyword(s):  
Science Fiction ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Data Privacy ◽  
Ethical Issues ◽  
Distant Future ◽  
Artificial Intelligent ◽  
Content Type ◽  
Social Actors ◽  
Conference Series

Purpose – This paper aims to explore human technology relations through the lens of sci-fi movies within the life cycle of the ETHICOMP conference series. Here, different perspectives on artificial intelligent agents, primarily in the shape of robots, but also including other kinds of intelligent systems, are explored. Hence, IT-ethical issues related to humans interactions with social robots and artificial intelligent agents are illustrated with reference to: Alex Proyas’ I, Robot; James Cameron’s Terminator; and the Wachowski brothers’ Matrix. All three movies present robots cast in the roles of moral agents capable of doing good or evil. Steven Spielberg’s Artificial Intelligence, A.I. gives rise to a discussion of the robot seen as a moral patient and furthermore reflects on possibilities for care and trust relations between robots and humans. Andrew Stanton’s Wall-E shapes a discussion of robots as altruistic machines in the role as facilitators of a flourishing society. Steven Spielberg’s Minority Report allows for a discussion of knowledge-discovering technology and the possibility for balancing data utility and data privacy. Design/methodology/approach – Observations of themes in sci-fi movies within the life span of the ETHICOMP conference series are discussed with the purpose of illustrating ways in which science fiction reflects (science) faction. In that sense, science fiction does not express our worries for a distant future, but rather casts light over questions, which is of concern in the present time. Findings – Human technology interactions are addressed and it is shown how sci-fi films highlight philosophical questions that puzzle us today, such as which kind of relationships can and ought to be formed with robots, and whether the roles they play as social actors demand that one ought to assign moral standing to them. The paper does not present firm answers but instead pays attention to the selection and framing of questions that deserve attention. Originality/value – To relate sci-fi movies to topics raised during the past 20 years of the ETHICOMP conference series, seemed to be an appropriate way of celebrating the 20-year anniversary of the ETHICOMP conference series.

Artificial Ethics

2018 ◽  
pp. 88-97
Author(s):  
Laura L. Pană
Keyword(s):  
Social Environment ◽  
Intelligent Agents ◽  
Artificial Agents ◽  
Intelligent Environment ◽  
Artificial Intelligent ◽  
Moral Agents ◽  
Artificial Moral Agents ◽  
The Social ◽  
Different Types ◽  
Complex Activities

We live today in a partially artificial intelligent environment in which human intelligent agents are accompanied and assisted by artificial intelligent agents, continually endowed with more functions, skills and even competences, and having a more significant involvement and influence in the social environment. Therefore, artificial agents need to become and moral agents. Human and artificial intelligent agents are cooperating in various complex activities and thus they develop some common characteristics and properties. These features, in turn, are changing and progressing together with several increasing requirements of the different types of activities. All these changes produce a common evolution of human and artificial intelligent agents. Under these new conditions, human and artificial agents need and a shared ethics. Artificial ethics can be philosophically grounded, scientifically developed and technically implemented, it will be a more clear, coherent and consistent ethics, suitable for both human and artificial moral agents, and will be the first effective ethics.

An Assessment Of Trust In Artificial Intelligent Agents: Tool Development

2021 ◽  
Author(s):  
Anton Angelgardt ◽  
Elena Gorbunova ◽  
Maria Chumakova
Keyword(s):  
Intelligent Agents ◽  
Tool Development ◽  
Artificial Intelligent

scholarly journals Artificial Intelligence and Moral intelligence

1970 ◽  
Vol 4 (2) ◽  
pp. 254-264
Author(s):  
Laura Pana
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Virtual Community ◽  
Machine Ethics ◽  
Moral Code ◽  
Human Beings ◽  
Artificial Intelligent ◽  
Moral Intelligence ◽  
Structural Levels

We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined, even unpredictable conduct), 2- entities endowed with diverse or even multiple intelligence forms, like moral intelligence, 3- open and, even, free-conduct performing systems (with specific, flexible and heuristic mechanisms and procedures of decision), 4 – systems which are open to education, not just to instruction, 5- entities with “lifegraphy”, not just “stategraphy”, 6- equipped not just with automatisms but with beliefs (cognitive and affective complexes), 7- capable even of reflection (“moral life” is a form of spiritual, not just of conscious activity), 8 – elements/members of some real (corporal or virtual) community, 9 – cultural beings: free conduct gives cultural value to the action of a ”natural” or artificial being. Implementation of such characteristics does not necessarily suppose efforts to design, construct and educate machines like human beings. The human moral code is irremediably imperfect: it is a morality of preference, of accountability (not of responsibility) and a morality of non-liberty, which cannot be remedied by the invention of ethical systems, by the circulation of ideal values and by ethical (even computing) education. But such an imperfect morality needs perfect instruments for its implementation: applications of special logic fields; efficient psychological (theoretical and technical) attainments to endow the machine not just with intelligence, but with conscience and even spirit; comprehensive technical means for supplementing the objective decision with a subjective one. Machine ethics can/will be of the highest quality because it will be derived from the sciences, modelled by techniques and accomplished by technologies. If our theoretical hypothesis about a specific moral intelligence, necessary for the implementation of an artificial moral conduct, is correct, then some theoretical and technical issues appear, but the following working hypotheses are possible: structural, functional and behavioural. The future of human and/or artificial morality is to be anticipated.

scholarly journals Artificial intelligent in China and United States

2020 ◽  
Vol 2 (5) ◽  
pp. 278-288
Author(s):  
SRIKANTH REDDY MANDATI
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Information Technology ◽  
Intelligent Agents ◽  
The United States ◽  
Human Mind ◽  
Exploratory Research ◽  
Artificial Intelligent ◽  
Future Aspirations ◽  
Emotional Process

The development of Information Technology has the power to make a computer think and act like a human being. Artificial intelligence is a special feature of information technology that involves developing a machine that works and responds like a human mind. The main features of artificial intelligence take into account the sensitivity of human senses. The system is able to recognize speech and touch as features set in the system to carry out the tasks of a normal state of health without human assistance. However, the wisdom of implanting the study of intelligent agents who take the environment and achieve their goal successfully. In the computer world. Most systems are designed to achieve objectives depending on the nature of the situation but on the use of special features derived from existing natural features of humans and animals. In general, an engagement thinker is a human relative who uses learning and problem-solving techniques to understand high levels of activity in human-inspired activity, the emotional process and decision-making. Architects are technically superior to human ingenuity, past and present exploratory research conducted extensively in China and the United States and a series of developments in line with future aspirations or technologies.

The Exploration of Autonomous Vehicles

2020 ◽  
pp. 108-122
Author(s):  
Anthony J. Gephardt ◽  
Elizabeth Baoying Wang
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Intelligent Agents ◽  
Autonomous Vehicles ◽  
Learning Processes ◽  
Artificial Intelligent ◽  
The World ◽  
History Of ◽  
The Creation

This chapter explores the world of autonomous vehicles. Starting from the beginning, it covers the history of the automobile dating back to 1769. It explains how the first production automobile came about in 1885. The chapter dives into the history of auto safety, ranging from seatbelts to full-on autonomous features. One of the main focuses is the creation and implementation of artificial intelligent (AI), neural networks, intelligent agents, and deep Learning Processes. Combining the hardware on the vehicle with the intelligence of AI creates what we know as autonomous vehicles today.

Creating Value Through Entrepreneurship

2010 ◽  
pp. 316-334
Author(s):  
Andrea Bikfalvi ◽  
Christian Serarols Tarrés ◽  
Josep Lluís de la Rosa Esteva
Keyword(s):  
Intelligent Agents ◽  
Customer Relationship ◽  
Artificial Intelligent ◽  
Entrepreneurial Team ◽  
Customer Intelligence ◽  
The University ◽  
User Friendly ◽  
Present Case Study ◽  
A Company

The present case study describes the creation and development process of ARTIFICIAL INTELLIGENT AGENTS, S.L. (AIA), a company spun-off from the University of Girona (Spain). It describes all phases, from concept to implementation, and the problems and challenges faced by the entrepreneurial team composed of academics and professionals. AIA provides living proof of how a research group can become a company. It lays out the path from developing a technology in the field of human automation attempting to sell a user-friendly technology that would help customer intelligence and management. AIA targeted at Internet companies in general, as well as traditional businesses that used customer relationship management (CRM) extensively in their daily operations. After having developed their main product and survived financial difficulty, the company stood at crossroads and a decision regarding its strategic future had to be taken.

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