Ontology-Based Reasoning for Collective Intelligence of Multi-agents System

Ontology offer significant benefits to multi-agent systems: interoperability, reusability and support for (MAS) development activities (such as system analysis and agent knowledge modeling) and support for MAS operation (such as agent communication and reasoning) . Our solution addresses particularly a process of (EI) to integrate individual …

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Agent-Based Intelligent Decision Support Systems: A Systematic …

Multiagent system (MAS) technology is one of several proposed solutions. This technology rose the challenge in decision-making applications. To date, no systematic review …

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The Role of Multi-Agent Systems in IoT | SpringerLink

Multi-agent systems help IoT create intelligent systems and for enhancement, agents need to integrate and these systems make IoT solutions more efficient, reliable, and secure. The IoT brings a change from fixed and static processes to self-controlled and dynamic processes. To achieve this, a timely, process-adaptive change will be required.

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Multiple Agent Designs in Conversational Intelligent Tutoring Systems

This article describes designs that use multiple conversational agents within the framework of intelligent tutoring systems. Agents in this case are computerized talking heads or embodied animated avatars that help students learn by performing actions and holding conversations with them in natural language. The earliest conversational intelligent tutoring …

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Building Enterprise AI Applications with Multi-Agent RAG Systems …

Intelligence: Access to Large Language Models ... Multi-Agent RAG Systems (MARS) offer a modular, scalable, and controllable approach to developing enterprise AI applications. As demonstrated in ...

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Overview of Intelligent Agent Frameworks: Building Adaptive and ...

3 · At the heart of every intelligent agent system lies a set of crucial building blocks. Like pieces of a puzzle, these components come together to create autonomous digital entities capable of sensing, thinking, and acting in complex environments. Let''s break down these key elements in a way that even your tech-phobic aunt could understand.

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An Approach to Intelligent Traffic Management System Using a …

Intelligent traffic management can be considered one of the most promising solutions to contemporary traffic problems. The traffic in transportation associated with emergency conditions including psychiatric improvement in transport network, allocation of variable traffic flows, reducing the number of the crowded traffic roads and paths as well as its negative …

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Quantum-inspired modeling of distributed intelligence …

Distributed intelligence systems (DIS) containing natural and artificial intelligence agents (NIA and AIA) for decision making (DM) belong to promising interdisciplinary studies aimed at ...

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Intelligent planning for large-scale multi-agent systems

In the artificial intelligence (AI) community, much attention has been placed on a simplified one-short version of the path-planning problem in the above multi-agent systems, known as multi-agent path finding (MAPF) (Ma and Koenig 2017; Stern et al. 2019; Ma 2022). The problem of MAPF is to move multiple agents from their start vertices to their target vertices in …

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Agent Architectures for Multi-Agent Systems: Key Design Principles

Unlike traditional single-agent systems, multi-agent systems create dynamic environments where multiple AI entities work together, each bringing specialized capabilities to tackle complex problems. Think of it as the difference between a solo performer and a symphony orchestra – while one can create beautiful music, the coordinated effort of many can achieve …

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CASIT: Collective Intelligent Agent System for Internet of Things

CASIT refers to a system based on multiple intelligent LLM agents, which realizes complex tasks through cooperation and makes full use of collective intelligence. In order to solve the …

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Kvalitativ och kvantitativ analys

Vilka för och nackdelar finns med kvantitativ dataanalys? Fördelar med kvantitativ analys är att det ger viss vetenskaplig trovärdighet och analysen baseras på erkända metoder och uppmätta värden. Nackdelar med kvantitativ analys är …

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Computational Intelligence for Agent-based Systems

Book Title: Computational Intelligence for Agent-based Systems. Editors: Raymond S. T. Lee, Vincenzo Loia. Series Title: Studies in Computational Intelligence. DOI: https://doi /10.1007/978-3-540-73177-1. Publisher: …

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Intelligent Agent in AI

Financial Trading: Intelligent agents are employed in algorithmic trading systems to analyze market data, identify trading opportunities, and execute trades autonomously, maximizing returns and minimizing risks. …

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(PDF) Multi-Agent Collaboration: Harnessing the Power of Intelligent ...

Our framework introduces a collaborative environment where multiple intelligent agent components, each with distinctive attributes and roles, work together to handle complex tasks more efficiently ...

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An agent-based intelligent tutoring systems review

An agent-based approach to intelligent tutoring systems research and development is applied as the set of agents that constitute the general architecture, and as animated characters - pedagogical agents. Therefore, the paper focuses on the components of intelligent tutoring systems that can be implemented as agents, as well as on functions that ...

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[2408.08435] Automated Design of Agentic Systems

We formulate a new research area, Automated Design of Agentic Systems (ADAS), which aims to automatically create powerful agentic system designs, including …

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Real-time multi-agent systems: rationality, formal model ...

To overcome these challenges, we propose a framework that combines guided Monte Carlo Tree Search (MCTS) search with a self-critique mechanism and iterative fine …

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An Approach to Intelligent Control Public Transportation System …

Transportation managers are using intelligent systems such as automatic vehicle location systems (e.g. [2, ... We note that multi-agent systems are increasingly present in the field of traffic regulation. The following is a short description of the main characteristics for public transport regulation system: Distributed: the information is ...

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Institutionen för Intelligenta system

Vi bedriver forskning och utbildning inom området för intelligenta system. Våra forskningsaktiviteter sträcker sig från grund- och teoretisk forskning till applikationer inom autonoma system, robotik, AI och maskininlärning, …

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The General-Purpose Intelligent Agent

Inspired by this idea, we perceive a need for a general-purpose intelligent agent (GIA), such that most tasks can be executed by the same agent, which will significantly …

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CASIT: Collective Intelligent Agent System for Internet of Things

Large language model (LLM)-based intelligent agent is a very hot concept in AI community, which aims to save various problems via adapting LLM to different industries. In this article, we present a collective intelligent agent system for the IoT (CASIT) that is a pioneering LLM-agent-based IoT system. We put forward a IoT framework that can be ...

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Multi-agent system for microgrids: design, optimization and

Multi-agent systems are smart systems, with Distributed Artificial Intelligence (DAI) for optimized control and management, where complex computational and optimization problems are broken over many entities, known as agents (Kantamneni et al. 2015) the context of microgrids and power systems, Distributed Problem Solving (DPS) is a subfield of MAS, …

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Kvantitativ metod

kvantitativ metod kvantitativ metod david johansson: kvantitativ metod: vi vill kunna svara på forskningsfrågor genom att mäta olika variabler. syftet är att ... För att kunna replikera så är det därför viktigt att metoden i en kvantitativ studie är väl beskriven man behöver i detalj kunna läsa hur forskaren i den tidiga studien ...

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Lecture 2

An agent solving a crossword puzzle by itself is clearly in a single-agent environment, whereas an agent playing chess is in a two- agent environment Example. • Chess is a competitive multiagent environment • Taxi driving environment: avoid collisions maximizes the performance measure of all agents ; it is a partially

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Test and Evaluation Framework for Multi-Agent Systems of …

AI to be integrated and deployed in multi-agent systems of autonomous intelligent agents (AIAs). These systems, if proven to be reliable, trustworthy, and safe, have the potential to be used in high-stakes contexts, often with lack of human intervention and under changing mission and environmental needs.

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Genomförbarhet, objektivitet och transparens i kvantitativa ...

Hazus erbjuder ett standardiserat och effektivt tillvägagångssätt för kvantitativ riskbedömning. Hazus-metodologin är generell och bedöms kunna implementeras i Sverige som kvantitativ riskbedömnings-metod på alla nivåer och potentiellt även ligga till grund för utveckling av programvara för effektivisering av sådan riskbedömning.

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