75 research outputs found
mWater prototype review
This document reviews our current water policy-making decision-support framework,
build on top of a regulated open Multi-Agent System (MAS),mWater [BGG+10, GGG+11],
that models a flexible water-rights market. Our simulator focuses on the effect of regulations
on demand and thus provides means to explore the interplay of norms and conventions
that regulate trading (like trader eligibility conditions, tradeable features of rights,
trading periods and price-fixing conventions), the assumptions about agent behaviour (individual
preferences and risk attitude, or population profile mixtures) and market scenarios
(water availability and use restrictions). A policy-maker would then assess the effects
of those interactions by observing the evolution of the performance indicators (efficiency
of use, price dynamics, welfare functions) (s)he designs.
1.2 OurBotti Navarro, VJ.; Garrido Tejero, A.; Giret Boggino, AS.; Noriega, P. (2013). mWater prototype review. http://hdl.handle.net/10251/3212
Automated Markets and Trading Agents
Computer automation has the potential, just starting to be realized, of transforming the
design and operation of markets, and the behaviors of agents trading in them. We discuss
the possibilities for automating markets, presenting a broad conceptual framework
covering resource allocation as well as enabling marketplace services such as search
and transaction execution. One of the most intriguing opportunities is provided by markets
implementing computationally sophisticated negotiation mechanisms, for example
combinatorial auctions. An important theme that emerges from the literature is the centrality
of design decisions about matching the domain of goods over which a mechanism
operates to the domain over which agents have preferences. When the match is imperfect
(as is almost inevitable), the market game induced by the mechanism is analytically
intractable, and the literature provides an incomplete characterization of rational bidding
policies. A review of the literature suggests that much of our existing knowledge
comes from computational simulations, including controlled studies of abstract market
designs (e.g., simultaneous ascending auctions), and research tournaments comparing
agent strategies in a variety of market scenarios. An empirical game-theoretic methodology
combines the advantages of simulation, agent-based modeling, and statistical and
game-theoretic analysis.http://deepblue.lib.umich.edu/bitstream/2027.42/49510/1/ace_galleys.pd
mWater prototype #2 analysis and design
mWater is a regulated open MAS that uses intelligent agents to manage a flexible
water-right market. One of the main goals of mWater is to be used as a simulator to assist
in decision-taking processes for policy makers. Our simulator focuses on demands and,
in particular, on the type of regulatory (in terms of norms selection and agents behaviour),
and market mechanisms thatBotti Navarro, VJ.; Criado Pacheco, N.; Garrido Tejero, A.; Gimeno, J.; Giret Boggino, AS.; Noriega, P. (2013). mWater prototype #2 analysis and design. http://hdl.handle.net/10251/3212
BNAIC 2008:Proceedings of BNAIC 2008, the twentieth Belgian-Dutch Artificial Intelligence Conference
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