NDLI: Automatically Defined Swarms for Task Allocation

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2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Cover

2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Title

2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Copyright

Welcome Message from the Conference Chair and Program Chair

Conference Organization

Program Committee Members

WI'07/IAT'07/BIBM'07/GrC'07 Joint Keynote: Computer Science as a Lens on the Sciences: The Example of Computational Molecular Biology

Conversational Informatics and Human-CenteredWeb Intelligence

How Relevant is Game Theory to Intelligent Agent Technology?

The Challenge of Cultural Modeling for Inferring Intentions and Behavior

Granular Computing forWeb Intelligence and Brain Informatics

Revisiting ADOPT-ing and its Feedback Schemes

An Ant Colony Optimization Algorithm for Solving the Multidimensional Knapsack Problems

Dynamic Area Coverage using Faulty Multi-Agent Swarms

Intelligent Agent Technology: An Application to US Wholesale Power Trading

Agent-based Fault Detection Mechanism in Wireless Sensor Networks

Roller: the Effect of the Environment to the Emergence of Behavior

Autonomy with Regard to an Attribute

Intelligent Software Agent Design Tool Using Goal Net Methodology

Gastro-Intestinal Tract Inspired Computational Paradigm

About Some Specificities of Embedded Multiagent Systems Design

A Self-Organization Process for Communication Management in Embedded Multiagent Systems

Comparing Route Selection Strategies in Collaborative Traffic Flow Management

Behavioral Intelligence for Geospatial Agents in Urban Environments

Automatically Defined Swarms for Task Allocation

Developing Actionable Trading Strategies for Trading Agents

Dynamic Data Driven Multi-Agent Simulation

Agent-Based Air Traffic Control in Airport Airspace

Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO)

Information Sharing in an Agent Organized Network

Automatically Costed Autonomous Mobility

Psychological Influence of Double-Bind Situations in Human-Agent Interaction

A Game Theoretic Approach to Active Distributed Data Mining

Utilizing Concept Maps to Improve Human-Agent Collaboration Within a Recognition-Primed Decision Model

Robustness of a Spoken Dialogue Interface for a Personal Assistant

A Hybrid Plan Recognition Model for Alzheimer's Patients: Interleaved-Erroneous Dilemma

An Application of Automated Negotiation to Distributed Task Allocation

Utility Based Q-learning to Maintain Cooperation in Prisoner's Dilemma Games

A Multi-Phase Protocol for Negotiation with Interdependent Issues

Analysis of Multi-Actor Policy Contexts Using Perception Graphs

Privacy Loss in Classical Multiagent Planning

BOA: A Cognitive Tactical Picture Compilation Agent

Design and Evaluation of a Multiagent Autonomic Information System

Formalizing Practical Reasoning Under Uncertainty: An Argumentation-Based Approach

Filling the P2P Network with White Lies to Make It Anonymous

From Mining Tinnitus Database to Tinnitus Decision-Support System, Initial Study

Emergent Storylines Based on Autonomous Characters with Mindreading Capabilities

Utilizing BDI Features for Transactional Agent Execution

Planning and Choosing: Augmenting HTN-Based Agents with Mental Attitudes

Attitude Driven Team Formation using Multi-Dimensional Trust

The Use of Reputation and Gossip in Small Cooperative Group Activities

Agent-based Analysis of Organizations: Formalization and Simulation

A Transactional Relationship Visualization System in Internet Auctions

A Specification Language for Coordination in Agent Systems

Tractable Optimal Multiagent Collaborative Design

Economically Inspired Self-healing Model for Multi-Agent Systems

Noise Tolerance in Reinforcement Learning Algorithms

An Agent-Based System to Support Geo-Information Analysis

A Graph-Based Multi-Agent Planning Algorithm with QoS Guarantees

Reinforcement Learning with Inertial Exploration

A Unification and Delegation Approach to Configure Generic Protocols for Agent Interactions

A Unified Framework Based on HTN and POP Approaches for Multi-Agent Planning

A Computational Model for Adaptive Emotion Regulation

Introducing Commodity Flow to an Agent-Based Model E-commerce System

Exploiting Untrustworthy Agents in Team Formation

The Price of Stability in Selfish Scheduling Games

On the Existence of a Spectrum of Equilibria in Adjustment Processes with Persistent Randomness. A Bak-Sneppen Evolution Model Approach

Optimal Solution Stability in Dynamic, Distributed Constraint Optimization

Learning the IPA Market with Individual and Social Rewards

Solving Coarse-grained DisCSPs with Multi-DisPeL and DisBO-wd

A Hybrid of Inference and Local Search for Distributed Combinatorial Optimization

TIBOR: A Resource-bounded Information Foraging Agent for Visual Analytics

Identifying Optimal Jobs to Work On: The Role of Attitude in Job Selection

A Study of an Approach to the Collective Iterative Task Allocation Problem

CompAPO: A Complete Version of the APO Algorithm

Convergence of Peer-to-Peer Collision Avoidance among Unmanned Aerial Vehicles

On Solving Distributed Fuzzy Constraint Satisfaction Problems with Agents

MRCC: A Multi-Resolution Cooperative Control Agent Architecture

A Distributed Algorithm for Finding Nucleolus-Stable Payoff Divisions

A New Agent Platform Architecture Supporting the Agent Group Paradigm for Multi-Agent Systems

Multi-party Collision Avoidance among Unmanned Aerial Vehicles

Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling

Coordination in Introspective Multi-Agent Systems

Social Collaboration, Stochastic Strategies and Information Referrals

The Concept of Autonomy in Distributed Computation and Multi-agent Systems

Negotiation Dynamics: Analysis, Concession Tactics, and Outcomes

Periodical Resource Allocation Using Approximated Combinatorial Auctions

Designing the Market Game for a Commodity Trading Simulation

A Flexible Policy-Driven Trust Negotiation Model

A Hybrid Push-Pull Model Based MultiAgent Supply-Chain System With Equilibrium Analysis

Norm Emergence in Agent Societies Formed by Dynamically Changing Networks

Using Specialized Agents in a Distributed MAS to Solve Airline Operations Problems: A Case Study

High-Speed Network Traffic Acquisition for Agent Systems

Integrating Electronic Institutions with 3D Virtual Worlds

ISABEL: A Multi Agent e-Learning System That Supports Multiple Devices

Persistently Effective Query Selection in Preference Elicitation

Network Intrusion Detection by Means of Community of Trusting Agents

An Empirical Study on a Locality Based Heuristic in Multi-Agent Constraint Satisfaction

Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation

Scalable Coalition Formation Method for Large-Scale Systems

JADE-FSM-Engine: A Deployment Tool for Flexible Agent Behaviours in JADE

Agent-Based Network Intrusion Detection System

Agent Architectures for Intelligent Virtual Environments

Simple Algorithms for Representing Tag Frequencies in the SCOT Exporter

Automatically Defined Swarms for Task Allocation

Content Provider	ACM Digital Library
Author	Drozd, William
Abstract	Insect inspired task allocation schemes have received significant attention as a way to control agents in dynamic or uncertain domains. This is largely because such mechanisms rely on only simple definitions of agent behavior, a small amount of communication and a high-degree of fault tolerance. However, it is often difficult to conceptualize the appropriate learning and decision rules for these agents since in the case of swarm-intelligence approaches, the focus is not on an individual agent's ability to optimize its behavior, but on the resulting performance of the entire complex system. Although there have been successes in a variety of domains in the past, many of these approaches have required considerable effort by the researcher to tailor the canonical definition to the specific problem at hand. This paper presents a generalized framework for solving multiagent task allocation problems using the insect-inspired model. I then show that because of the inherent simplicity of the agent's design, we can automatically define these learning and decision rules. A multi-robot task allocation experiment has been defined and performed. The results show how these automatically-defined behaviors outperform existing manually defined behaviors. What follows is a reusable and automatic approach to developing customized insect inspired agent behaviors for use with any dynamic task allocation problem.
Starting Page	67
Ending Page	71
Page Count	5
File Format	PDF
ISBN	0769530273
DOI	10.1109/IAT.2007.35
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-11-02
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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