scholarly journals Long-Term Adaptivity in Distributed Intelligent Systems: Study of ViaBots in a Simulated Environment

Robotics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 25
Author(s):  
Arturs Ardavs ◽  
Mara Pudane ◽  
Egons Lavendelis ◽  
Agris Nikitenko
Keyword(s):  
Organization Theory ◽  
Intelligent Systems ◽  
Autonomous Robots ◽  
Autonomous Agent ◽  
Systems Model ◽  
Simulated Environment ◽  
Multi Agent ◽  
Distributed Intelligent Systems ◽  
Viable System

This paper proposes a long-term adaptive distributed intelligent systems model which combines an organization theory and multi-agent paradigm—ViaBots. Currently, the need for adaptivity in autonomous intelligent systems becomes crucial due to the increase in the complexity and diversity of the tasks that autonomous robots are employed for. To deal with the design complexity of such systems within the ViaBots model, each part of the modeled system is designed as an autonomous agent and the entire model, as a multi-agent system. Based on the viable system model, which is widely used to ensure viability, (i.e., long-term autonomy of organizations), the ViaBots model defines the necessary roles a system must fulfill to be capable to adapt both to changes in its environment (like changes in the task) and changes within the system itself (like availability of a particular robot). Along with static role assignments, ViaBots propose a mechanism for role transition from one agent to another as one of the key elements of long term adaptivity. The model has been validated in a simulated environment using an example of a conveyor system. The simulated model enabled the multi-robot system to adapt to the quantity and characteristics of the available robots, as well as to the changes in the parts to be processed by the system.

scholarly journals Logic-based technologies for multi-agent systems: a systematic literature review

2020 ◽  
Vol 35 (1) ◽  
Author(s):  
Roberta Calegari ◽  
Giovanni Ciatto ◽  
Viviana Mascardi ◽  
Andrea Omicini
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Intelligent Systems ◽  
Current Status ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Computer Scientists ◽  
Multi Agent ◽  
The Subject

Abstract Precisely when the success of artificial intelligence (AI) sub-symbolic techniques makes them be identified with the whole AI by many non-computer-scientists and non-technical media, symbolic approaches are getting more and more attention as those that could make AI amenable to human understanding. Given the recurring cycles in the AI history, we expect that a revamp of technologies often tagged as “classical AI”—in particular, logic-based ones—will take place in the next few years. On the other hand, agents and multi-agent systems (MAS) have been at the core of the design of intelligent systems since their very beginning, and their long-term connection with logic-based technologies, which characterised their early days, might open new ways to engineer explainable intelligent systems. This is why understanding the current status of logic-based technologies for MAS is nowadays of paramount importance. Accordingly, this paper aims at providing a comprehensive view of those technologies by making them the subject of a systematic literature review (SLR). The resulting technologies are discussed and evaluated from two different perspectives: the MAS and the logic-based ones.

scholarly journals The Good, the Bad, and the Ethical Implications of Bridging Blockchain and Multi-Agent Systems

Information ◽  
2019 ◽  
Vol 10 (12) ◽  
pp. 363 ◽  
Author(s):  
Davide Calvaresi ◽  
Jean-Paul Calbimonte ◽  
Alevtina Dubovitskaya ◽  
Valerio Mattioli ◽  
Jean-Gabriel Piguet ◽  
...  
Keyword(s):  
Intelligent Systems ◽  
Early Stage ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Ethical Implications ◽  
Blockchain Technology ◽  
Development Framework ◽  
Multi Agent ◽  
Distributed Intelligent Systems ◽  
Similar Solutions

The agent based approach is a well established methodology to model distributed intelligent systems. Multi-Agent Systems (MAS) are increasingly employed in applications dealing with safety and information critical tasks (e.g., in eHealth, financial, and energy domains). Therefore, transparency and the trustworthiness of the agents and their behaviors must be enforced. For example, employing reputation based mechanisms can promote the development of trust. Nevertheless, besides recent early stage studies, the existing methods and systems are still unable to guarantee the desired accountability and transparency adequately. In line with the recent trends, we advocate that combining blockchain technology (BCT) and MAS can achieve the distribution of the trust, removing the need for trusted third parties (TTP), potential single points of failure. This paper elaborates on the notions of trust, BCT, MAS, and their integration. Furthermore, to attain a trusted environment, this manuscript details the design and implementation of a system reconciling MAS (based on the Java Agent DEvelopment Framework (JADE)) and BTC (based on Hyperledger Fabric). In particular, the agents’ interactions, computation, tracking the reputation, and possible policies for disagreement-management are implemented via smart contracts and stored on an immutable distributed ledger. The results obtained by the presented system and similar solutions are also discussed. Finally, ethical implications (i.e., opportunities and challenges) are elaborated before concluding the paper.

The Energy-Saving Control of Combined Multi-Unit for Building Automatic System in the Subway

2014 ◽  
Vol 513-517 ◽  
pp. 3597-3600 ◽  
Author(s):  
Zhong Jin Shi ◽  
Bing Xu ◽  
Bao Guo Zheng ◽  
Xue Han Zhu
Keyword(s):  
Energy Saving ◽  
Automatic System ◽  
Intelligent Systems ◽  
Multi Agent System ◽  
Operating Characteristics ◽  
Equipment Operation ◽  
Actual Environment ◽  
Multi Agent ◽  
Distributed Intelligent Systems ◽  
Energy Saving Control

Multi-unit operation in building automatic system (BAS) is an important part for the equipment operation; it is essentially a distributed multi agent system (MAS). In this paper, Petri net is adopted to establish the control model about the equipment operation in BAS, know the operating characteristics and start-stop conditions of energy consumption equipment in the rail which are in under different circumstances. Based on the analysis of BAS and the theory of distributed intelligent systems, according to the actual environment and energy requirements, the start-stop arrays are selected dynamically as the basis for the units operating, and ultimately achieve energy-saving operation of multi-unit control purposes.

Middleware-based multi-agent development environment for building and testing distributed intelligent systems

2021 ◽  
Author(s):  
Francisco José Aguayo-Canela ◽  
Héctor Alaiz-Moretón ◽  
María Teresa García-Ordás ◽  
José Alberto Benítez-Andrades ◽  
Carmen Benavides ◽  
...  
Keyword(s):  
Intelligent Systems ◽  
Development Environment ◽  
Multi Agent ◽  
Distributed Intelligent Systems ◽  
Agent Development

Perspectives on Ethics of AI

2020 ◽  
pp. 419-441
Author(s):  
Benjamin Kuipers
Keyword(s):  
Autonomous Vehicles ◽  
Intelligent Systems ◽  
Feedback Mechanism ◽  
Computational Approach ◽  
Human Society ◽  
Decision Point ◽  
Free Riders ◽  
Ethical Knowledge ◽  
Distributed Intelligent Systems ◽  
Lesser Evil

This chapter describes a computational view of the function of ethics in human society and discusses its application to three diverse examples. First, autonomous vehicles are individually embodied intelligent systems that act as members of society. The ethical knowledge needed by such an agent is not how to choose the lesser evil when confronted by a Deadly Dilemma, but how to recognize the upstream decision point that makes it possible to avoid the Deadly Dilemma entirely. Second, disembodied distributed intelligent systems like Google and Facebook provide valuable services while collecting, aggregating, and correlating vast amounts of information about individual users. With inadequate controls, these corporate systems can invade privacy and do substantial damage through either correct or incorrect inferences. Third, acceptance of the legitimacy of the society by its individual members depends on a general perception of fairness. Rage about unfairness can be directed at individual free-riders or at systematic inequality across the society. Ultimately, the promise of a computational approach to ethical knowledge is not simply ethics for computational devices such as robots. It also promises to help people understand the pragmatic value of ethics as a feedback mechanism that helps intelligent creatures, human and nonhuman, live together in thriving societies.

scholarly journals A GENETIC APPROACH FOR LONG TERM VIRTUAL ORGANIZATION DISTRIBUTION

2011 ◽  
Vol 20 (02) ◽  
pp. 271-295 ◽  
Author(s):  
VÍCTOR SÁNCHEZ-ANGUIX ◽  
SOLEDAD VALERO ◽  
ANA GARCÍA-FORNES
Keyword(s):  
Genetic Algorithm ◽  
Virtual Organization ◽  
Genetic Material ◽  
Multi Agent System ◽  
Crossover Operator ◽  
Agent Based ◽  
Multi Agent ◽  
Global Goal ◽  
Computational Resources

An agent-based Virtual Organization is a complex entity where dynamic collections of agents agree to share resources in order to accomplish a global goal or offer a complex service. An important problem for the performance of the Virtual Organization is the distribution of the agents across the computational resources. The final distribution should provide a good load balancing for the organization. In this article, a genetic algorithm is applied to calculate a proper distribution across hosts in an agent-based Virtual Organization. Additionally, an abstract multi-agent system architecture which provides infrastructure for Virtual Organization distribution is introduced. The developed genetic solution employs an elitist crossover operator where one of the children inherits the most promising genetic material from the parents with higher probability. In order to validate the genetic proposal, the designed genetic algorithm has been successfully compared to several heuristics in different scenarios.

Foundations for Knowledge and Belief Management

2021 ◽  
Vol 17 (3) ◽  
pp. 88-99
Author(s):  
Roderic A. Girle
Keyword(s):  
Intelligent Systems ◽  
Turing Test ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Conceptual Structures ◽  
Interacting Agents ◽  
Questions And Answers ◽  
Multi Agent ◽  
The Difference ◽  
Dialogue Theory

Three foundational principles are introduced: intelligent systems such as those that would pass the Turing test should display multi-agent or interactional intelligence; multi-agent systems should be based on conceptual structures common to all interacting agents, machine and human; and multi-agent systems should have an underlying interactional logic such as dialogue logic. In particular, a multi-agent rather than an orthodox analysis of the key concepts of knowledge and belief is discussed. The contrast that matters is the difference between the different questions and answers about the support for claims to know and claims to believe. A simple multi-agent system based on dialogue theory which provides for such a difference is set out.

Multiteam systems as integrated networks for engaging ambidexterity as dynamic capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin P. Dean
Keyword(s):  
Dynamic Capabilities ◽  
Dynamic Environment ◽  
Task Demands ◽  
Organizational Level ◽  
Future Research ◽  
Integrated Networks ◽  
Content Type ◽  
Systems Model ◽  
Near Term

PurposeThis inquiry aims to determine the features and mechanisms that specially enable a multiteam system (MTS) to develop ambidexterity that can deal effectively with rapid changes in dynamic environments. The MTS is an emerging organizational unit comprised of tightly integrated networks of teams that may originate from one or more firms. The inquiry also considered how an MTS can engage those features and mechanisms to maximize ambidexterity as dynamic capabilities for increased innovation and long-term adaptation under complex, volatile conditions.Design/methodology/approachThis conceptual inquiry integrates the emerging research on MTSs with theory and studies relating to ambidexterity and dynamic capabilities. This inquiry focuses on the attributes and linkages that specially characterize an MTS. It analyzes these to determine the key mechanisms and interactions enabling and engaging ambidexterity at MTS unit level.FindingsMTSs can engage powerful mechanisms for ambidexterity functioning as dynamic capabilities at meso-organizational level. The attributes and linkages that distinguish an MTS from other units enable it to deal effectively and efficiently with near-term task demands by simultaneously balancing the essential tasks of exploration and exploitation, and by being able to rapidly adapt by reconfiguring taskwork and reallocating resources as required for sustainable innovation and long-term success within a dynamic environment.Practical implicationsThis inquiry provides valuable insights for designing MTSs that are equipped with selected teams, flexible memberships, specialized skills and permeable interfaces. Autonomy for an MTS allows the unit to span internal and external organizational boundaries to gain access to new discoveries and to exchange information and material resources for increased innovation. Ambidexterity as dynamic capabilities facilitates exploitation of current resources by efficiently reconfiguring taskwork and reallocating materials for adaptation and competitive advantage.Originality/valueThis inquiry appears to represent the most integrative effort to examine the underexplored potential of MTSs for developing and engaging ambidexterity functioning as dynamic capabilities. The inquiry appears to be a first effort at articulating a concept of MTS ambidexterity distinct from organizational ambidexterity. The analysis synthesizes a systems model that guides organizational leaders and opens new opportunities for future research.

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