Neuroeconomics and Agent-Based Computational Economics

Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agent-based economists when they are inquiring for the foundation or the principle of the software-agent design. It has been shown in many studies that the design of software agents is non-trivial and can determine what will emerge from the bottom. Therefore, it has been quested for rather a period regarding whether anyone can sensibly design these software agents, including both the choice of software agent models, such as reinforcement learning, and the parameter setting associated with the chosen model, such as risk attitude. In this paper, the author will start a formal inquiry by focusing on examining the models and parameters used to build software agents.

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Neuroeconomics

Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies ◽

10.4018/978-1-60566-898-7.ch003 ◽

2010 ◽

pp. 35-49

Author(s):

Shu-Heng Chen ◽

Shu G. Wang

Keyword(s):

Reinforcement Learning ◽

Software Agents ◽

Risk Attitude ◽

Software Agent ◽

Computational Economics ◽

Parameter Setting ◽

Agent Based ◽

Agent Design

Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can interest agent-based economists when they are inquiring for the foundation or the principle of the software-agent design, normally known as agent engineering. It has been shown in many studies that the design of software agents is non-trivial and can determine what will emerge from the bottom. Therefore, it has been quested for rather a period regarding whether we can sensibly design these software agents, including both the choice of software agent models, such as reinforcement learning, and the parameter setting associated with the chosen model, such as risk attitude. In this chapter, we shall start a formal inquiry by focusing on examining the models and parameters used to build software agents.

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Software agents: Languages, tools, platforms

Computer Science and Information Systems ◽

10.2298/csis110214013b ◽

2011 ◽

Vol 8 (2) ◽

pp. 255-298 ◽

Cited By ~ 51

Author(s):

Costin Bădică ◽

Zoran Budimac ◽

Hans-Dieter Burkhard ◽

Mirjana Ivanovic

Keyword(s):

Software Development ◽

Reference Point ◽

Software Agents ◽

Large Body ◽

Software Agent ◽

Agent Technology ◽

Agent Based ◽

Key Concepts ◽

Developing Area

The main goal of this paper is to provide an overview of the rapidly developing area of software agents serving as a reference point to a large body of literature and to present the key concepts of software agent technology, especially agent languages, tools and platforms. Special attention is paid on significant languages designed and developed in order to support implementation of agent-based systems and their applications in different domains. Afterwards, in the paper a number of useful and practically used tools and platforms that are available and support activities or phases of the process of agent-oriented software development are presented.

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A reinforcement learning algorithm for Agent-based Computational Economics (ACE) model of electricity markets

2015 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2015.7256905 ◽

2015 ◽

Cited By ~ 5

Author(s):

Bharat Menon Radhakrishnan ◽

Dipti Srinivasan ◽

Yong Fu Alfred Lau ◽

Balaji Gokulan Parasumanna ◽

Akshay Kumar Rathore ◽

...

Keyword(s):

Reinforcement Learning ◽

Electricity Markets ◽

Learning Algorithm ◽

Computational Economics ◽

Agent Based ◽

Ace Model ◽

Reinforcement Learning Algorithm

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An Inter-Organizational Business Process Study from Agents Interaction Perspective

Agent Systems in Electronic Business ◽

10.4018/978-1-59904-588-7.ch006 ◽

2011 ◽

pp. 96-124

Author(s):

Joseph Barjis ◽

Samuel Chong

Keyword(s):

Business Process ◽

Software Agents ◽

Real Life ◽

Software Agent ◽

Communication Patterns ◽

Agent Based ◽

Agent Systems ◽

Process Study ◽

Human Actors

It is observed that agent (or software agent) based systems largely imitate organizations of human actors. Thus, the nature of agent based systems can be better understood by first studying the ordinary human actors or organizations that own the agent based systems. In this chapter we first study agent systems and discuss characteristics of software agents, then we introduce a generic pattern of agents interaction derived from the communication patterns of human actors. Agent based systems are studied in the context of inter-organizational business process using diagrams and notations adapted by the authors. The methods and concepts used in this chapter are based on the Semiotics approach and the Language Action Perspective. For the illustration of our concept of agent based systems, we discuss a case study conducted based on a real life business.

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Using Software Agents in a Work Centered Support System for Weather Forecasting and Monitoring

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120204600346 ◽

2002 ◽

Vol 46 (3) ◽

pp. 433-437 ◽

Cited By ~ 1

Author(s):

Ron Scott ◽

Stephen E. Deutsch ◽

Tom Kazmierczak ◽

Samuel R. Kuper ◽

Emilie M. Roth ◽

...

Keyword(s):

Support System ◽

Weather Forecasting ◽

Collaborative Work ◽

Software Agents ◽

Software Agent ◽

Task Demands ◽

Cognitive Engineering ◽

System Architectures ◽

Agent Based ◽

Agent Interaction

There has been a growing interest in developing system architectures and human-software agent interaction paradigms that deploy software agents in the service of effective support for human task performance. This paper describes an agent-based system for a weather forecasting and monitoring application, called Work Centered Support System for Global Weather Management (WCSS-GWM), that takes this approach. WCSS-GWM exemplifies and extends Cognitive Engineering (CE) principles for effecting human-software agent interaction and Work Centered Support System (WCSS) concepts. Two fundamental CE principles are observability and directability. Users need to be able to ‘see’ what the software agents are doing and be able to re-direct the software agents as task demands change. The WCSS brings an additional, complementary perspective, emphasizing the need to support the multiple facets involved in individual cognitive and collaborative work (decision-making, product development, collaboration, and work management). The WCSS-GWM agent-based architecture is explicitly designed with these objectives in mind.

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Software Agents in Electronic Commerce

Internet Commerce and Software Agents ◽

10.4018/978-1-930708-01-3.ch005 ◽

2001 ◽

pp. 75-87

Author(s):

Maria Indrawan

Keyword(s):

Electronic Commerce ◽

Software Agents ◽

Software Agent ◽

Agent Technology ◽

Agent Based ◽

Security Issues ◽

Is Security

The explosive growth of Internet-based electronic commerce has increased the consumer’s choices of goods and merchants. To find a suitable good and merchant with acceptable sales terms is a very tedious task. Agent technologies promise to simplify these tasks for consumers. This chapter presents an overview of electronic commerce systems based on software agent technology. A survey of current existing and prototype systems are presented. One of essential requirements of a successful e-commerce system is security measurement. This paper also discusses security issues related to implementing agent-based e-commerce.

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