• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
dbauer_thesis
dbauer_thesis

... does not mean instantaneous Memory events are only guaranteed to be causally ordered Is there a method to achieve sequentially consistent shared memory in a loosely coordinated, distributed environment? ...
Automatic Verification of Multi-Agent Systems in Parameterised Grid
Automatic Verification of Multi-Agent Systems in Parameterised Grid

... mechanisms, etc.), and on the other hand, even if the agent knows its exact location, many times it does not have this information for other objects in the environment, e.g., if a complete to-scale map of the environment is not available, and only a partial schematic exists (such as a “map” drawn o ...
FULL TEXT
FULL TEXT

... negative or neutral concepts characterizing the corresponding impact on each other.Thus it is possible to analyze the entire system, and changing the input parameters to solve and understand how and what kind of concept will be most affected by the system and other concepts. artykuł recenzowany/revi ...
Cognitive Modeling - Introduction
Cognitive Modeling - Introduction

Monte Carlo
Monte Carlo

... Arrival distribution a facility with two docks. ...
Belief Revision in Multi-Agent Systems
Belief Revision in Multi-Agent Systems

... been informed about by other community members (either because an acquaintance has answered a query or because it has volunteered a piece of relevant information). In such cases a number of crucial decisions must be made about how the information provided by other agents should be treated - should i ...
UT Austin Villa RoboCup 3D Simulation Base Code Release
UT Austin Villa RoboCup 3D Simulation Base Code Release

... The RoboCup 3D simulation environment is based on SimSpark [17], a generic physical multiagent system simulator. SimSpark uses the Open Dynamics Engine1 (ODE) library for its realistic simulation of rigid body dynamics with collision detection and friction. ODE also provides support for the modeling ...
Multi-Agent Systems Introduction
Multi-Agent Systems Introduction

... Autonomy: agents may exhibit activities that are not the one expected by the other agents in the system Delegation: agents may receive some control over their activities ...
A Tractable Heuristic that Maximizes Global Utility through Local
A Tractable Heuristic that Maximizes Global Utility through Local

... assigned the task, or which the agent determines according to its local view. Thus, it can estimate the value or profit of successfully completing the plan, v(P(g~)). Note that we assume constant rewaxds (i.e., step utility functions for plans), which is the most general case, since heuristic method ...
IDA: A Cognitive Agent Architecture
IDA: A Cognitive Agent Architecture

... represented drives, from IDA’s understanding of the external word through the Focus, and from internal states. The behavior whose activation is highest among those with all prerequisites satisfied becomes the next goal context as specified in global workspace theory. The several small actions typica ...
Artificial Intelligence in Reservoir Simulation and
Artificial Intelligence in Reservoir Simulation and

... Shahab D. Mohaghegh, Ph.D. Intelligent Solutions, Inc. & West Virginia University Morgantown, WV, USA ...
cs-171-01-Agents_smrq16
cs-171-01-Agents_smrq16

... (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experience (with ability to learn and adapt) with ...
cs-171-01-Agents
cs-171-01-Agents

... (all-knowing with infinite knowledge) • Agents can perform actions in order to modify future percepts so as to obtain useful information (information gathering, exploration) • An agent is autonomous if its behavior is determined by its own percepts & experience (with ability to learn and adapt) with ...
The Project ENTs: Towards Modeling Human
The Project ENTs: Towards Modeling Human

... reactive in some way; in such case the plan would have to be recomputed. Therefore plans how to achieve goals must be somehow explicitly prescripted and pure planning can be allowed only at times. The key function of a mind would be then an opportunistic switching among prescripted plans to find the ...
Online version
Online version

Artificial Intelligence
Artificial Intelligence

... sequence, a rational agent should select an  action that is expected to maximize its  performance measure, given the evidence  provided by the percept sequence and  whatever built‐in knowledge the agent has. ...
AI on the WWW supply and demand agents
AI on the WWW supply and demand agents

... total assets. another for generating net income. and a third for generating interest expense net of income tax savings. Information from each of these agents could then be combined to generate the ratio of return on assets. This agent-based approach allows specialized knowledge about the generation ...
On Agents and Grids: Creating the Fabric for a New Generation of
On Agents and Grids: Creating the Fabric for a New Generation of

... information about their external environment and effectors to change it in order to accomplish their tasks. These environments are often dynamic, may be shared with other agents, and may include adversarial or interfering agents. Grid applications gather information about the grid environment throug ...
Object-based Intelligence in Office and Production Processes: A
Object-based Intelligence in Office and Production Processes: A

... production systems, with the aim to provide consistent and coherent support for overall planning. This paper puts forth the view that recent advances in object-orientation and distributed artificial intelligence open up the prospect of systems which will enable the true integration of automation, bo ...
Intelligent Computer-Aided Engineering
Intelligent Computer-Aided Engineering

... while, however, the expert can explain the new system almost as well as the ones he is familiar with . It seems there are "compiled" explanations which the expert can bring to bear on familiar systems, or systems built out of familiar components . Given an unfamiliar system, the expert requires time ...
Strübing Bridging the Gap 1998
Strübing Bridging the Gap 1998

... involved with each other for a long time in the U.S. It is not only that interactionist concepts have deeply influenced DAI models; a good number of these same concepts have been developed and refined in empirical research on different aspects of distributed artificial intelligence in socio-technica ...
Proceedings of the Workshop “Formalizing Mechanisms for Artificial
Proceedings of the Workshop “Formalizing Mechanisms for Artificial

... mind model, the Consciousness And Memory model (CAM). Then I talk about the computational model of memory in CAM, including working memory, semantic memory, episodic memory and procedural memory. All of these models are described by dynamic description logic (DDL), which is a formal logic with the c ...
agent-based model - IDt
agent-based model - IDt

... An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous individuals in a network, with a view to assessing their effects on the system as a whole. It combines elements of game theory, complex systems, emergence, computational sociology, multi age ...
1.37 MB - EngageNY
1.37 MB - EngageNY

... (b) Some entire careers revolve around a single modeling problem. (c) Eliminates questions regarding “what good is this stuff?” (d) Standards from multiple mathematical domains (and multiple grade levels) can occur together in modeling problems. This serves to make connections between mathematical c ...
Rational Artificial Intelligence for the Greater Good - Self
Rational Artificial Intelligence for the Greater Good - Self

... will respond intelligently to changing circumstances and adapt to novel environmental conditions. Their decision-making powers may help us solve many of today’s problems in health, finance, manufacturing, environment, and energy [7]. These technologies are likely to become deeply integrated into our ...
< 1 ... 7 8 9 10 11 12 13 14 15 ... 35 >

Agent-based model

An agent-based model (ABM) is one of a class of computational models for simulating the actions and interactions of autonomous agents (both individual or collective entities such as organizations or groups) with a view to assessing their effects on the system as a whole. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo Methods are used to introduce randomness. Particularly within ecology, ABMs are also called individual-based models (IBMs), and individuals within IBMs may be simpler than fully autonomous agents within ABMs. A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used on non-computing related scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.Agent-based models are a kind of microscale model that simulate the simultaneous operations and interactions of multiple agents in an attempt to re-create and predict the appearance of complex phenomena. The process is one of emergence from the lower (micro) level of systems to a higher (macro) level. As such, a key notion is that simple behavioral rules generate complex behavior. This principle, known as K.I.S.S. (""Keep it simple, stupid"") is extensively adopted in the modeling community. Another central tenet is that the whole is greater than the sum of the parts. Individual agents are typically characterized as boundedly rational, presumed to be acting in what they perceive as their own interests, such as reproduction, economic benefit, or social status, using heuristics or simple decision-making rules. ABM agents may experience ""learning"", adaptation, and reproduction.Most agent-based models are composed of: (1) numerous agents specified at various scales (typically referred to as agent-granularity); (2) decision-making heuristics; (3) learning rules or adaptive processes; (4) an interaction topology; and (5) a non-agent environment. ABMs are typically implemented as computer simulations, either as custom software, or via ABM toolkits, and this software can be then used to test how changes in individual behaviors will affect the system's emerging overall behavior.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report