Smart Contracts for Multi-agent Interaction of Regional Innovation Subjects

2019 ◽  
pp. 420-434
Author(s):  
Leyla Gamidullaeva ◽  
Alexey Finogeev ◽  
Sergey Vasin ◽  
Anton Finogeev ◽  
Sergey Schevchenko
Keyword(s):  
Smart Contracts ◽  
Regional Innovation ◽  
Agent Interaction ◽  
Multi Agent

UUV formation system modeling and simulation research based on Multi-Agent Interaction Chain

2015 ◽  
Vol 06 (02) ◽  
pp. 1550019 ◽  
Author(s):  
Hongtao Liang ◽  
Fengju Kang ◽  
Honghong Li
Keyword(s):  
Modeling And Simulation ◽  
System Modeling ◽  
Rule Base ◽  
Communication Model ◽  
Static Structure ◽  
Dynamic Contract ◽  
Novel Approach ◽  
Agent Interaction ◽  
Multi Agent ◽  
Formation System

Unmanned Underwater Vehicle (UUV) formation system has an important role in the utilization of marine resource. In order to provide an efficient method to research modeling and simulation of UUV formation in the marine environment, the novel approach based on Multi-Agent Interaction Chain was proposed for the UUV formation system. Firstly, Multi-Agent Interaction Chain was analyzed, which mainly considered task and role of UUV in the formation, and the overall modeling process of UUV formation system based on Multi-Agent Interaction Chain was established. Then, the static structure of Multi-Agent Interaction Chain was researched focusing on Hybrid UUV-Agent model structure from the UUV-Agent State-Set and UUV-Agent Rule-Base which were the two aspects to strengthen reliability of interaction chain; the dynamic mechanism of Multi-Agent Interaction Chain was designed, which was focused on collaboration model and communication model through the Adaptive Dynamic Contract Net Protocol and KQML/XML/RTI. Finally, three experiments were established to verify the validity and effectiveness of proposed modeling approach for UUV formation system. Simulation results show the proposed model has good performance, which has important theoretical innovation and application prospects.

Hybrid Emotionally Aware Mediated Multiagency

2012 ◽  
pp. 1314-1329
Author(s):  
Giovanni Vincenti ◽  
James Braman
Keyword(s):  
Artificial Intelligence ◽  
Artificial Life ◽  
Consumer Products ◽  
Agent Societies ◽  
Everyday Lives ◽  
Agent Interaction ◽  
Multi Agent ◽  
Thinking Processes

Emotions influence our everyday lives, guiding and misguiding us. They lead us to happiness and love, but also to irrational acts. Artificial intelligence aims at constructing agents that can emulate thinking processes, but artificial life still lacks emotions and all the consequences that come from them. This work introduces an emotionally aware framework geared towards multi-agent societies. Basing our model on the shoulders of solid foundations created by pioneers who first explored the coupling of emotions and agency, we extend their ideas to include inter-agent interaction and virtual genetics as key components of an agent’s emotive state. We also introduce possible future applications of this framework in consumer products as well as research endeavors.

Integrating Blockchain Platforms With Big Data Solutions for Regional Innovation Development

2020 ◽  
pp. 175-186
Author(s):  
Leyla Ayvarovna Gamidullaeva ◽  
Vardan Mkrttchian ◽  
Alexey Finogeev
Keyword(s):  
Big Data ◽  
Intellectual Property ◽  
Intellectual Property Rights ◽  
Third Party ◽  
Smart Contracts ◽  
Economic Activities ◽  
Regional Innovation ◽  
Innovation Development ◽  
Distributed Transaction ◽  
Main Component

The chapter discusses the creation of a mechanism for ensuring reliable and secure interaction among participants in regional innovation systems based on the establishment of smart contracts in the blockchain. The technology allows to reduce the possibility of fraud by dishonest participants, as well as to exclude the need for a third party by transferring its functions to a smart contract. This is important for ensuring confidential and transparent relations between participants in innovative projects, as well as with interested subjects of social and economic activities in the regions. The Ethereum blockchain platform was chosen to create smart contracts. On its basis, there were developed components to perform transactions in contracting, creating, and implementing innovations, transferring intellectual property rights, using rights and licenses for innovation, etc. The main component of the system is a distributed transaction register with digital copies of innovation objects.

Semantic Interoperability of Geospatial Services

2010 ◽  
pp. 400-421
Author(s):  
Iftikhar U. Sikder ◽  
Santosh K. Misra
Keyword(s):  
Spatial Reasoning ◽  
Spatial Information ◽  
Resource Integration ◽  
Semantic Level ◽  
Collaborative Modeling ◽  
Multiple Data ◽  
Agent Interaction ◽  
Agent Collaboration ◽  
Multi Agent ◽  
Geospatial Services

This article proposes a multi-agent based framework that allows multiple data sources and models to be semantically integrated for spatial modeling in business processing. The paper reviews the feasibility of ontology-based spatial resource integration options to combine the core spatial reasoning with domainspecific application models. We propose an ontology-based framework for semantic level communication of spatial objects and application models. We then introduce a multi-agent system, ontology-based spatial information and resource integration services (OSIRIS), to semantically interoperate complex spatial services and integrate them in a meaningful composition. The advantage of using multi-agent collaboration in OSIRIS is that it obviates the need for end-user analysts to be able to decompose a problem domain to subproblems or to map different models according to what they actually mean. We also illustrate a multi-agent interaction scenario for collaborative modeling of spatial applications using the proposed custom feature of OSIRIS.

On distributed artificial intelligence

1988 ◽  
Vol 3 (1) ◽  
pp. 21-57 ◽  
Author(s):  
Luis Eduardo ◽  
Castillo Hern
Keyword(s):  
Artificial Intelligence ◽  
Conceptual Model ◽  
Intelligent Agents ◽  
Distributed Artificial Intelligence ◽  
Agent Interaction ◽  
Multi Agent

AbstractDistributed Artificial Intelligence has been loosely defined in terms of computation by distributed, intelligent agents. Although a variety of projects employing widely ranging methodologies have been reported, work in the field has matured enough to reveal some consensus about its main characteristics and principles. A number of prominent projects are described in detail, and two general frameworks, theSystem conceptual modeland theagent conceptual model, are used to compare the different approaches. The paper concludes by reviewing approaches to formalizing some of the more critical capabilities required by multi-agent interaction.

An ant-inspired model for multi-agent interaction networks without stigmergy

2017 ◽  
Vol 12 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Andreas Kasprzok ◽  
Beshah Ayalew ◽  
Chad Lau
Keyword(s):  
Interaction Networks ◽  
Agent Interaction ◽  
Multi Agent

INTER-CONFIDENTIALITY PROTECTION OF AGENT COMMUNICATION IN MULTI-AGENT SYSTEM BASED APPLICATIONS

2015 ◽  
Vol 77 (13) ◽  
Author(s):  
Olumide Simeon Ogunnusi ◽  
Shukor Abd Razak ◽  
Abdul Hanan Abdullah
Keyword(s):  
Mobile Agent ◽  
Mobile Agents ◽  
Control Mechanism ◽  
Multi Agent System ◽  
Replay Attack ◽  
Agent Communication ◽  
Man In The Middle ◽  
Agent Interaction ◽  
Multi Agent ◽  
Execution Environment

Mobile agent interaction is usually vulnerable to attacks from within and outside the agent’s execution environment. Also, the mobility property of mobile agents earns them the opportunity to migrate from one security domain to another. Intranet/LAN with connection to internet do, from time to time, experience agent visitation either for malicious purpose or for legitimate mission. To protect legitimate agent communication against attack by visiting agent, we propose a technique that restricts migration of the visiting agent and isolate it to a neutral host where its mission could be achieved. We refer to this technique as restriction-based access control mechanism (ResBAC). The proposed mechanism employs certificate authentication, re-defining visiting agent itinerary path and visiting agent isolation to accomplish the aforementioned objective. The performance of the proposed mechanism is evaluated using scenarios to determine the strength of the mechanism in term of its ability to protect agent communication against the three major threats: man-in-the-middle attack, replay attack, and passive eavesdropping. 

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