Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 89 for “"Multiple Agents"”.
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Extending computational game theory--simultaneity, multiple agents, chance and metareasoning
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
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ℓ-CTP: Utilizing Multiple Agents to Find Efficient Routes in Disrupted Networks
… to construct an online framework for utilizing multiple vehicles to discover low-cost paths through networks with failed edges unknown to one or more agents a priori. This thesis demonstrates the following results: first, we develop the ℓ-CTP framework to extend a theoretically validated set of …
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Decentralized path planning for multiple agents in complex environments using rapidly-exploring random trees
… to dynamically update the order in which agents plan. This reordering is based on a measure of each agent's incentive to replan and allows agents with a greater incentive to plan sooner, thus reducing the global cost and improving the team's overall performance. An extended version of the …
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Architecture design and simulation for distributed learning classifier systems
… mechanism for allowing communication between LCS agents in a multiple-agent scenario. Often multiple-agents are used to solve large tasks collectively by subdividing the task into smaller parts. Multiple agents can also be used to solve a task in parallel so that a solution can be arrived at more …
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Conflict resolution in cooperative design
… becoming a cooperative endeavor carried out by multiple agents with diverse kinds of expertise. The development of tools and underlying theories for supporting cooperative design has lagged, however, behind the growing needs implied by this evolution.
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Intent Recognition in Multi-Agent Domains
… recognizing low-level intentions for individual agents, and of recognizing coordinated agents of multiple agents. This is because in real-world domains, it is rare to be performing tasks which require intent recognition in sparsely populatedenvironments. In this thesis, we present solutions to …
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A multi-agent framework for coordination and system integration
… enterprise information systems as consisting of multiple agents with different functionalities, the methodology provides the representational formalism, coordination mechanisms, and control schemes necessary for integrating heterogeneous units of an information system while meeting such …
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Cooperative control of multi-agent systems with time-delays
… is Robust Sliding-Mode Cooperative Control for Multiple Time-Delay Systems with Model Uncertainties and Disturbance, in which, it designed a sliding mode cooperative control law for a general time-delay system with model uncertainty and external disturbance. For the delay-independent system, a …
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Reactive synthesis of action planners
… behavior. Classical ADL semantics cannot handle multiple agents or non-determinism. A natural extension of ADL (referred to as ADLnE in this document) has been proposed which can handle dynamic environments, non-determinism, and multiple agents. The proposed work can be seen as an extension to …
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Strategy Instruction in Early Childhood Math Software: Detecting and Teaching Single-digit Addition Strategies
… the pedagogical agent, investigating whether multiple agents are more effective than a single agent when teaching about multiple strategies. The study finds that while children do not accurately report their own strategies, the software log is able to detect the strategies that children use …
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Games meet Concurrency: Algorithms and Hardness
… Given the similarities of concurrent systems of multiple agents and multiplayer games, this thesis analyzes a spectrum of models connecting these three fields and bridges the gaps between them by building upon techniques from the growing literature studying the complexity of games through gadget …
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Learning to collaborate : robots building together
… advantage of the opportunities available with multiple robots. If we are to push the boundaries of robotic assembly, then we need to make collaborative robots that can work together, without human intervention, to plan and build large structures that they could not complete alone. By developing …
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Magellan : a robust executive enabling long horizon multi-agent campaigns
… campaigns frequently involve the coordination of agents with continuous dynamics to achieve multiple goals over long horizons and often occur in hazardous environments that can change unpredictably. Campaigns are specified by hybrid activity plans, featuring both finite domain and real-valued …
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Decentralized collaborative localization in urban environments with inter-agent ranging and 3D-mapping-aided (3DMA) GNSS
… the environment. However, if we consider several agents, then the localization capabilities may differ among the agents due to reasons such as heterogeneity of sensors, different view of the sky, the structure of buildings around agents etc. This variety can be leveraged to localize all the agents …
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Dialogue-driven Multi-Agent Activity Planning
… is to build a general-purpose system with multiple agents that can perform a wide range of tasks based on specifications provided in natural language. This work presents a novel dialogue-driven activity planning framework for multiagent scenarios. We present a method that accepts commands …
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Navigation agents and traffic simulation
… the development of intelligent navigation agents for traffic simulation. Discussions are made on issues considering the underlying data structure, the algorithms used for the creation of the data structures, the specification of various agents, and their performance. It also includes …
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Multi-Agent Reinforcement Learning for Autonomous Robotics
… challenges. The impact of integrating robotic agents into real-world applications may be significantly enhanced by leveraging advancements in multi-agent autonomous systems. However, the coordination required in multi-agent systems demands complex motion planning to deconflict actions and …
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Machine social intelligence in Virtualhome
… environment for testing social intelligence in multiple agents. In the challenge, an AI agent needs to help a human-like agent perform a complex household task efficiently. To succeed, the AI agent needs to i) understand the underlying goal of the task by watching a single demonstration of the …
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The impact of market structure on price determination : a simulation approach using multi-agent reinforcement learning in continuous state and action space
… adaptive market simulation system consists of multiple agents and a centralized exchange. By applying reinforcement learning techniques, agents evolve and become capable of making intelligent trading decisions while adapting to changing market conditions. Trading dynamics in the real world are …
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Computationally Feasible Approaches to Automated Mechanism Design
… must be made based on the preferences of multiple agents, and agents may lie about their preferences if this is to their benefit. In mechanism design, the goal is to design procedures (mechanisms) for making the decision that work in spite of such strategic behavior, usually by making …
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