Contradiction of modern and social-humanitarian artificial intelligence
نویسندگان
چکیده
Purpose The purpose of the paper is to propose an effective approach artificial intelligence (AI) addressing social-humanitarian reality comprising non-formalizable representation. new task describe processes integration AI and humans in hybrid systems framework. Design/methodology/approach Social-humanitarian dynamics contradict traditional characteristics AI. Suggested methodology embraces formalized non-formalized parts as a whole. Holonic special convergent approaches are combined ensure purposefulness sustainability collective decision-making. Inverse problem solving on topology spaces, control thermodynamics (considering quantum relativistic) semantics include observers eigenforms reality. Findings Collective decision-making cannot be represented only by formal means. Thus, this suggests equation (HyR), which integrates formalizable conveying coalescing holonic approaches, thermodynamic theory, cognitive modeling inverse solving. makes solution purposeful sustainable. Research limitations/implications suggested far reaching with respect current state-of-the-art technology; medium-term limitations expected creation semantics. Practical implications events embrace all phenomena connected individual human behavior will impact deeply networked experts, groups crowds, rescue teams, researchers, professional communities, society environment. Originality/value New possibilities for advanced enable sustainable subjects. information structuring during creates necessary conditions toward goals.
منابع مشابه
Artificial intelligence - a modern myth
Recently there has been a plethora of books questioning the feasibility of strong AI, including works by Penrose (1989), Bringsjord (1992), Moody (1993) and this title from Kelly. All these works have much to offer the interested agnostic, but Kelly’s remains the most comprehensive in scope and the most thorough in content. What gives this work its Trojan edge is that it is written by a Compute...
متن کاملHumanitarian health computing using artificial intelligence and social media: A narrative literature review.
INTRODUCTION According to the World Health Organization (WHO), over 130 million people are in constant need of humanitarian assistance due to natural disasters, disease outbreaks, and conflicts, among other factors. These health crises can compromise the resilience of healthcare systems, which are essential for achieving the health objectives of the sustainable development goals (SDGs) of the U...
متن کاملArtificial Social Intelligence By
Sociologists have begun to explore the gains for theory and research that might be achieved by artificial intelligence technology: symbolic processors, expert systems, neural networks, genetic algorithms and classifier systems. The first major accomplishments of artificial social intelligence (ASI) have been in the realm of theory, where these techniques have inspired new theories as well as he...
متن کاملDoes intelligence imply contradiction?
Contradiction is often seen as a defect of intelligent systems and a dangerous limitation on efficiency. In this paper we raise the question of whether, on the contrary, it could be considered a key tool in increasing intelligence in biological structures. A possible way of answering this question in a mathematical context is shown, formulating a proposition that suggests a link between intelli...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Kybernetes
سال: 2022
ISSN: ['0368-492X', '1758-7883']
DOI: https://doi.org/10.1108/k-01-2022-0057