A GENOME BASED VISION OF MULTI-AGENT SYSTEMS

Salvatore Gaglio; Massimo Cossentino; Riccardo Rizzo

A GENOME BASED VISION OF MULTI-AGENT SYSTEMS

Salvatore Gaglio, Massimo Cossentino, Riccardo Rizzo

Ingegneria

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A set of software agents can be programmed to provide a large but finite set of services, often defined duringdesign phase. After an evolution of the external environment, the pre-defined services could be unable tosatisfy the requested quality. In this work an agent framework is proposed capable to adapt the agents in orderto improve the quality of services provided by an agent society in correspondence with a modification of theexternal environment. These agents are based on a biologically inspired structure (genome), that defines alltheir behaviors and knowledges.

Original language	English
Title of host publication	ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2
Pages	406-409
Number of pages	4
Publication status	Published - 2011

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Cite this

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title = "A GENOME BASED VISION OF MULTI-AGENT SYSTEMS",

abstract = "A set of software agents can be programmed to provide a large but finite set of services, often defined duringdesign phase. After an evolution of the external environment, the pre-defined services could be unable tosatisfy the requested quality. In this work an agent framework is proposed capable to adapt the agents in orderto improve the quality of services provided by an agent society in correspondence with a modification of theexternal environment. These agents are based on a biologically inspired structure (genome), that defines alltheir behaviors and knowledges.",

author = "Salvatore Gaglio and Massimo Cossentino and Riccardo Rizzo",

year = "2011",

language = "English",

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AU - Gaglio, Salvatore

AU - Cossentino, Massimo

AU - Rizzo, Riccardo

PY - 2011

Y1 - 2011

N2 - A set of software agents can be programmed to provide a large but finite set of services, often defined duringdesign phase. After an evolution of the external environment, the pre-defined services could be unable tosatisfy the requested quality. In this work an agent framework is proposed capable to adapt the agents in orderto improve the quality of services provided by an agent society in correspondence with a modification of theexternal environment. These agents are based on a biologically inspired structure (genome), that defines alltheir behaviors and knowledges.

AB - A set of software agents can be programmed to provide a large but finite set of services, often defined duringdesign phase. After an evolution of the external environment, the pre-defined services could be unable tosatisfy the requested quality. In this work an agent framework is proposed capable to adapt the agents in orderto improve the quality of services provided by an agent society in correspondence with a modification of theexternal environment. These agents are based on a biologically inspired structure (genome), that defines alltheir behaviors and knowledges.

UR - http://hdl.handle.net/10447/74843

M3 - Conference contribution

SN - 978-989-8425-41-6

SP - 406

EP - 409

BT - ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2

ER -

A GENOME BASED VISION OF MULTI-AGENT SYSTEMS

Abstract

All Science Journal Classification (ASJC) codes

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