Conference Publication Details
Mandatory Fields
O'Broin, P,O'Riordan, C
ARTIFICIAL INTELLIGENCE REVIEW
An evolutionary approach to deception in multi-agent systems
2007
April
Published
1
()
Optional Fields
Multi-agent systems Deception Evolutionary computation
257
271
Understanding issues of trust and deception are key to designing robust, reliable multi-agent systems. This paper builds on previous work which examined the use of auctions as a model for exploring the concept of deception in such systems. We have previously described two forms of deceptive behaviour which can occur in a simulated repeated English auction. The first of these types of deception involves sniping or late bidding, which not only allows an agent to conceal its true valuation for an item, but also potentially allows it to win an item for which it may not possess the highest valuation. The second deceptive strategy involves the placing of false bids which are designed to reduce an opponent's potential profit. In this work we examine the potential shortcomings of those two strategies and investigate whether or not their individual strengths can be combined to produce a successful hybrid deceptive strategy.
DOI 10.1007/s10462-008-9080-7
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