scholarly journals Extended Reality, Intelligent Agents and Simulation to improve Efficiency, Safety and Security in Harbors and Port Plants

2019 ◽  
Author(s):  
Agostino G. Bruzzone ◽  
Marina Massei ◽  
Kirill Sinelshchikov ◽  
Paolo Fadda ◽  
Gianfranco Fancello ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Crisis Management ◽  
Intelligent Agents ◽  
Emergency Planning ◽  
Critical Infrastructures ◽  
Improve Efficiency ◽  
Simulation Based

The paper introduces a new project devoted to develop a simulation-based solution for improving emergency planning and crisis management in critical infrastructures such as seaports and related terminal. The research aims to investigate the use of Artificial Intelligence and Simulation jointly with Extended Reality in this framework.

scholarly journals Peacekeeping Conditions for an Artificial Intelligence Society

2019 ◽  
Vol 3 (2) ◽  
pp. 34
Author(s):  
Hiroshi Yamakawa
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Human Society ◽  
Common Value ◽  
Goal Management ◽  
Computer Based ◽  
Common Goals ◽  
Near Future ◽  
Advanced System ◽  
Local Value

In a human society with emergent technology, the destructive actions of some pose a danger to the survival of all of humankind, increasing the need to maintain peace by overcoming universal conflicts. However, human society has not yet achieved complete global peacekeeping. Fortunately, a new possibility for peacekeeping among human societies using the appropriate interventions of an advanced system will be available in the near future. To achieve this goal, an artificial intelligence (AI) system must operate continuously and stably (condition 1) and have an intervention method for maintaining peace among human societies based on a common value (condition 2). However, as a premise, it is necessary to have a minimum common value upon which all of human society can agree (condition 3). In this study, an AI system to achieve condition 1 was investigated. This system was designed as a group of distributed intelligent agents (IAs) to ensure robust and rapid operation. Even if common goals are shared among all IAs, each autonomous IA acts on each local value to adapt quickly to each environment that it faces. Thus, conflicts between IAs are inevitable, and this situation sometimes interferes with the achievement of commonly shared goals. Even so, they can maintain peace within their own societies if all the dispersed IAs think that all other IAs aim for socially acceptable goals. However, communication channel problems, comprehension problems, and computational complexity problems are barriers to realization. This problem can be overcome by introducing an appropriate goal-management system in the case of computer-based IAs. Then, an IA society could achieve its goals peacefully, efficiently, and consistently. Therefore, condition 1 will be achievable. In contrast, humans are restricted by their biological nature and tend to interact with others similar to themselves, so the eradication of conflicts is more difficult.

scholarly journals About Formation of International Ethical Digital Environment with Smart Artificial Intelligence

2021 ◽  
Vol 11 (1) ◽  
pp. 1-9
Author(s):  
Evgeny Bryndin
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Legal Regulation ◽  
Ethical Standard ◽  
High Tech ◽  
Digital Environment ◽  
Widespread Application ◽  
Social Sphere ◽  
The Social ◽  
Cognitive Robots

Intellectual agent ensembles allow you to create digital environment by professional images with language, behavioral and active communications, when images and communications are implemented by agents with smart artificial intelligence. Through language, behavioral and active communications, intellectual agents implement collective activities. The ethical standard through intelligent agents allows you to regulate the safe use of ensembles made of robots and digital doubles with creative communication artificial intelligence in the social sphere, industry and other professional fields. The use of intelligent agents with smart artificial intelligence requires responsibility from the developer and owner for harming others. If harm to others occurred due to the mistakes of the developer, then he bears responsibility and costs. If the damage to others occurred due to the fault of the owner due to non-compliance with the terms of use, then he bears responsibility and costs. Ethical standard and legal regulation help intellectual agents with intelligent artificial intelligence become professional members of society. Ensembles of intelligent agents ith smart artificial intelligence will be able to safely work with society as professional images with skills, knowledge and competencies, implemented in the form of retrained digital twins and cognitive robots that interact through language, behavioral and active ethical communications. Cognitive robots and digital doubles through self-developing ensembles of intelligent agents with synergistic interaction and intelligent artificial intelligence can master various high-tech professions and competencies. Their use in the industry increases labor productivity and economic efficiency of production. Their application in the social sphere improves the quality of life of a person and society. Their widespread application requires compliance with an ethical standard so that their use does not cause harm. The introduction and use of an ethical standard for the use of cognitive robots and digital doubles with smart artificial intelligence increases the safety of their use. Ethical relationships between individuals and intellectual agents will also be governed by an ethical standard.

scholarly journals Software Platform for Designing and Running Artificial Intelligence Competitions with a Visualization Subsystem

2019 ◽  
Author(s):  
Дмитрий Александрович Коростелев ◽  
Dmitriy Aleksandrovich Korostelev ◽  
Алексей Радченко ◽  
Aleksey Radchenko ◽  
Никита Сильченко ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Software Platform ◽  
Main Approach ◽  
Specialized Software ◽  
Operational Testing ◽  
New Ideas ◽  
Systems Simulation

The paper describes the solution to the problem of testing the efficiency of new ideas and algorithms for intelligent systems. Simulation of interaction of the corresponding intelligent agents in a competitive form implementing different algorithms is proposed to use as the main approach to the solution. To support this simulation, a specialized software platform is used. The paper describes the platform developed for running competitions in artificial intelligence and its subsystems: a server, a client and visualization. Operational testing of the developed system is also described which helps to evaluate the efficiency of various algorithms of artificial intelligence in relation to the simulation like "Naval Battle".

scholarly journals Engineering Emotionally Intelligent Agents

2011 ◽  
pp. 99-117
Author(s):  
Penny Baillie ◽  
Mark Toleman ◽  
Dickson Lukose
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Agents ◽  
Emotional State ◽  
Psychological Theory ◽  
Emotional States ◽  
Changing Environment ◽  
Emotionally Intelligent ◽  
Over Time ◽  
The Way

Interacting with intelligence in an ever-changing environment calls for exceptional performances from artificial beings. One mechanism explored to produce intuitive-like behavior in artificial intelligence applications is emotion. This chapter examines the engineering of a mechanism that synthesizes and processes an artificial agent’s internal emotional states: the Affective Space. Through use of the affective space, an agent can predict the effect certain behaviors will have on its emotional state and, in turn, decide how to behave. Furthermore, an agent can use the emotions produced from its behavior to update its beliefs about particular entities and events. This chapter explores the psychological theory used to structure the affective space, the way in which the strength of emotional states can be diminished over time, how emotions influence an agent’s perception, and the way in which an agent can migrate from one emotional state to another.

scholarly journals IR 4.0 TECHNOLOGY: JEWEL IN PANDEMIC ERA

2020 ◽  
Vol 5 (21) ◽  
pp. 240-247
Author(s):  
Ahmad Shamsul Abd Aziz ◽  
Nor Azlina Mohd Noor ◽  
Khadijah Mohamed
Keyword(s):  
Artificial Intelligence ◽  
Intellectual Property ◽  
Crisis Management ◽  
World Health ◽  
Human Communication ◽  
Secondary Sources ◽  
Realistic Approach ◽  
Library Research ◽  
The World ◽  
Health Organization

Coronavirus 2019 (COVID 19) was first reported in Wuhan, China in December 2019. The rapidly spreading coronavirus outbreak around the world had forced the World Health Organization (WHO) to declare COVID 19 as a pandemic on March 11, 2020. Crisis management for COVID 19 requires an integrated and realistic approach, and a focus on technology can assist matters to become more efficient. Although IR 4.0 technology is widely used in dealing with pandemic crises, the relevant laws relating to intellectual property laws, especially copyrights and patents with this technology must continue to be protected. This article discusses IR 4.0 technologies such as artificial intelligence (AI) and blockchain as applied in the era of pandemics and intellectual property protection associated with this technology. For this purpose, this article applies library research methodology by analyzing primary and secondary sources. This article concludes that IR 4.0 technology such as artificial intelligence and blockchain is seen as jewels in the era of pandemics because as with the use of this technology, human communication can be reduced. In addition, this technology can also reduce dependence on manpower. Improvements to intellectual property laws can be done in providing more protection against this IR 4.0 technology.

scholarly journals Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization

2018 ◽  
Vol 15 (2) ◽  
pp. 38-56
Author(s):  
Brett Israelsen ◽  
Nisar Ahmed ◽  
Kenneth Center ◽  
Roderick Green ◽  
Winston Bennett
Keyword(s):  
Artificial Intelligence ◽  
Decision Makers ◽  
Bayesian Optimization ◽  
Adaptive Simulation ◽  
Simulation Based

Supporting Social Interactions In Human-Ai Teams: Profiling Human Teammates From Sparse Data

2021 ◽  
Vol 65 (1) ◽  
pp. 665-669
Author(s):  
Rhyse Bendell ◽  
Jessica Williams ◽  
Stephen M. Fiore ◽  
Florian Jentsch
Keyword(s):  
Artificial Intelligence ◽  
Social Cognition ◽  
Social Interactions ◽  
Team Performance ◽  
Intelligent Agents ◽  
Social Intelligence ◽  
Social Cognitive ◽  
Social Cues ◽  
Cognitive Mechanisms ◽  
Human Agent

Artificial intelligence has been developed to perform all manner of tasks but has not gained capabilities to support social cognition. We suggest that teams comprised of both humans and artificially intelligent agents cannot achieve optimal team performance unless all teammates have the capacity to employ social-cognitive mechanisms. These form the foundation for generating inferences about their counterparts and enable execution of informed, appropriate behaviors. Social intelligence and its utilization are known to be vital components of human-human teaming processes due to their importance in guiding the recognition, interpretation, and use of the signals that humans naturally use to shape their exchanges. Although modern sensors and algorithms could allow AI to observe most social cues, signals, and other indicators, the approximation of human-to-human social interaction -based upon aggregation and modeling of such cues is currently beyond the capacity of potential AI teammates. Partially, this is because humans are notoriously variable. We describe an approach for measuring social-cognitive features to produce the raw information needed to create human agent profiles that can be operated upon by artificial intelligences.

Affective Agents in E-Learning Platforms

2012 ◽  
pp. 1225-1233
Author(s):  
Christos N. Moridis ◽  
Anastasios A. Economides
Keyword(s):  
Artificial Intelligence ◽  
Learning Environments ◽  
Intelligent Agents ◽  
Intelligent Agent ◽  
Human Learning ◽  
Human Reasoning ◽  
Conversational Agents ◽  
Emotional Aspects ◽  
E Learning ◽  
Learning Platforms

During recent decades there has been an extensive progress towards several Artificial Intelligence (AI) concepts, such as that of intelligent agent. Meanwhile, it has been established that emotions play a crucial role concerning human reasoning and learning. Thus, developing an intelligent agent able to recognize and express emotions has been considered an enormous challenge for AI researchers. Embedding a computational model of emotions in intelligent agents can be beneficial in a variety of domains, including e-learning applications. However, until recently emotional aspects of human learning were not taken into account when designing e-learning platforms. Various issues arise when considering the development of affective agents in e-learning environments, such as issues relating to agents’ appearance, as well as ways for those agents to recognize learners’ emotions and express emotional support. Embodied conversational agents (ECAs) with empathetic behaviour have been suggested to be one effective way for those agents to provide emotional feedback to learners’ emotions. There has been some valuable research towards this direction, but a lot of work still needs to be done to advance scientific knowledge.

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