Financial Markets in the Internet Age

2011 ◽  
pp. 80-108
Author(s):  
Ross A. Lumley
Keyword(s):  
Financial Markets ◽  
Financial Market ◽  
New Technologies ◽  
Intelligent Agent ◽  
Financial Instruments ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Internet Age ◽  
Technological Advances ◽  
Multi Agent

The chapter reviews how the financial markets historically have been affected by new technologies and shows that, time and again, technological advances have impacted the very workflow of the financial market processes including the available financial instruments. Present technologies are discussed leading to a framework for how they form the basis for building intelligent agent systems. An overview of multi-agent systems is provided followed by several examples of multi-agent systems supporting investors in financial markets.

Financial Markets in the Internet Age

2011 ◽  
pp. 2119-2142
Author(s):  
Ross A. Lumley
Keyword(s):  
Financial Markets ◽  
Financial Market ◽  
New Technologies ◽  
Intelligent Agent ◽  
Financial Instruments ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Internet Age ◽  
Technological Advances ◽  
Multi Agent

The chapter reviews how the financial markets historically have been affected by new technologies and shows that, time and again, technological advances have impacted the very workflow of the financial market processes including the available financial instruments. Present technologies are discussed leading to a framework for how they form the basis for building intelligent agent systems. An overview of multi-agent systems is provided followed by several examples of multi-agent systems supporting investors in financial markets.

scholarly journals Intelligent agent for formal modelling of temporal multi-agent systems

2020 ◽  
Vol 13 (1) ◽  
pp. 1-13
Author(s):  
Awais Qasim ◽  
Zeeshan Aziz ◽  
Syed Asad Raza Kazmi ◽  
Adnan Khalid ◽  
Ilyas Fakhir ◽  
...  
Keyword(s):  
Intelligent Agent ◽  
Multi Agent Systems ◽  
Formal Modelling ◽  
Agent Systems ◽  
Multi Agent

Multi-Agent Systems for Distributed Geospatial Modeling, Simulation and Computing

2010 ◽  
pp. 196-204 ◽  
Author(s):  
Genong Yu ◽  
Liping Di ◽  
Wenli Yang ◽  
Peisheng Zhao ◽  
Peng Yue
Keyword(s):  
Intelligent Agents ◽  
Intelligent Agent ◽  
Geospatial Data ◽  
Collective Effects ◽  
Multi Agent Systems ◽  
Geospatial Modeling ◽  
Autonomous Action ◽  
Agent Systems ◽  
Modeling Simulation ◽  
Multi Agent

Multi-agent system is specialized in studying the collective effects of multiple intelligent agents. An intelligent agent is a computer system with autonomous action in an environment. This technology is especially suitable for studying geospatial phenomena since they are complex in nature and call for intertwined actions from different forces. This chapter describes multi-agent systems and their application in geospatial modeling, simulation and computing. Geospatial data integration and mining are discussed.

Design Agents with Negotiation Capabilities

2001 ◽  
pp. 122-149
Author(s):  
Jana Dospisil
Keyword(s):  
User Interfaces ◽  
New Technologies ◽  
Multi Agent Systems ◽  
Negotiation Strategy ◽  
Agent Systems ◽  
Decision Making Processes ◽  
Multi Agent ◽  
High Level ◽  
Near Future ◽  
Reasoning Engine

Agents are viewed as the next significant software abstraction, and it is expected they will become as ubiquitous as graphical user interfaces are today. Multi-agent systems have a key capability to reallocate tasks among their members, and this may result in significant savings and improvements in many domains, such as resource allocation, scheduling, e-commerce, etc. In the near future, agents will roam the Internet, selling and buying information and services. These agents will evolve from their present-day form—simple carriers of transactions—to efficient decision makers. It is envisaged that the decision-making processes and interactions between agents will be very fast (Kephart, 1998). The importance of automated negotiation systems is increasing with the emergence of new technologies supporting faster reasoning engines and mobile code. A central part of agent systems is a sophisticated reasoning engine that enables the agents to reallocate their tasks, optimize outcomes, and negotiate with other agents. The negotiation strategy used by the reasoning engine also requires high-level interagent communication protocols and suitable collaboration strategies. Both of these subsystems—a reasoning engine and a collaboration strategy—typically result in complicated agent designs and implementations that are difficult to maintain.

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