An Introduction to MultiAgent Systems

By Barbara Messing. 2002

4,635 citations recorded by the source corpus.

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Citations in the corpus

Multi-Agent Cooperation and the Emergence of (Natural) Language (2016, background): “Ted Chiang, Story of Your Life One of the main aims of AI is to develop agents that can cooperate with others to achieve goals (Wooldridge, 2009).”
Multi-objective multi-agent decision making: a utility-based analysis and survey (2019, methodology): “The agents within a MAS may act cooperatively, competitively, or may exhibit a mixture of these behaviours [173,183].”
Argumentation-based negotiation (2003, background): “As a result, applications of agent technology have ranged from electronic trading and distributed business process management to air-traﬃc and spacecraft control (Wooldridge, 2002; Parunak, 1999).”
Issues in Multiagent Resource Allocation (2006, background): “This is probably the most widely used interpretation of the term “social welfare” in the multiagent systems literature [79, 97].”
The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism (2020, background): “ODDs are also less succinct than the specification languages that exist in certain ABM communities (e.g. Z-notation; Wooldridge 2009), which are cryptic to untrained readers.”
Theoretical considerations of potential-based reward shaping for multi-agent systems (2011, background): “With multiple, distributed agents a larger set of problem domains can be practically modelled [35].”
Policy invariance under reward transformations for multi-objective reinforcement learning (2017, background): “Agents in a cooperative MAS are designed to work together to achieve a system-level goal [11].”
Developing multiagent systems: The Gaia methodology (2003, methodology): “Given this new landscape, we advocate the use of multiagent systems (MASs) as a software engineering paradigm for designing and developing complex software systems [58, 27, 57].”
Multiagent learning in the presence of memory-bounded agents (2013, unknown): “A multiagent system [47] can be defined as a group of autonomous, interacting entities sharing a common environment, which they perceive with sensors and upon which they act with actuators.”
Deep Learning Techniques for Music Generation - A Survey (2017, background): “A more cooperative approach is natural for handling complexity, heterogeneity, scalability and openness, as, for example, pioneered by multi-agent systems [186].”
The science of science: from the perspective of complex systems (2017, background): “In certain situations,we cannot derive an analytic expression for innovationdynamics; agent-basedmodeling (ABM) [405] is an alternative for analyzing the basic rules that govern the innovation system and their relationships among these rules and for proposing effective guides and strategies to optim”
Statistical physics of social dynamics (2007, background): “On short time scales, coexisting ordered domains of small size (both positive and negative) are formed.”
Trust in multi-agent systems (2004, background): “Moreover , reputation mechanisms aim to induce truthful ratings from witnesses and actually make it rational for agents to give ratings about each other to the system .”
Potential-based difference rewards for multiagent reinforcement learning (2014, background): “Multiagent systems deploy multiple agents in the same environment and can therefore benefit from the distribution of tasks and redundancy of agents [22].”
Practical verification of decision-making in agent-based autonomous systems (2013, background): “As a result, the practice developed of separating decision-making components from the underlying control system, often using the popular agent paradigm (Wooldridge 2002).”
An Agent-based Federated Learning Object Search Service (2011, unknown): “The system will make intensive use of technologies from Distributed Artificial Intelligence (DAI) and Multi-Agent Systems (MAS) research fields (Weiss, 1999; Wooldridge, 2002), seeking to optimize the LO search process.”
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology) (2007, background): “Note further that, if the multi-agent system assumes the principle of veracity (see [103]), meaning that the designer can assume that all agents in the system only inform other agents of things they themselves believe to be true, then loves(maria,bob)[source(john)[source(maria)]] could also represen”
A Concise Introduction to Decentralized POMDPs (2016, background): “The field of MAS research is a broad interdisciplinary field with relations to distributed and concurrent systems, artificial intelligence (AI), economics, logic, philosophy, ecology and the social sciences [Wooldridge, 2002].”
Agent-based systems for manufacturing (2006, background): “Plans, on the one hand, can constrain the amount of reasoning, and, on the other hand, can make coordination possible [2] [45].”
Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI (2021, background): “In the context of distributed AI and multi-agent systems, we need to figure out the collaborative relationship between at least one human operator and the collective system of agents, where and how multiple agents communicate and interact with primitives, such as common goals, shared beliefs, joint ”