A heuristic approach for best sets of actions determination in influence nets

Haider, Sajjad; Zaidi, Abbas K.; Levis, Alexander H.

doi:10.1109/iri.2004.1431527

Cited by 21 publications

(12 citation statements)

References 4 publications

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“…The SAF algorithm [28,29] is a heuristic approach to determine the sets of actions (and their configuration/state) that cause the probability of the desired effect to be above (below) a given probability threshold. The algorithm achieves this task in significantly less time than is required for an exhaustive examination of the actions' search space, which is exponential in terms of Given A, E where A = Set of Actionable Events E = Desired Effect…”

Section: Tools To Gauge Impact Of Changes In Insmentioning

confidence: 99%

Using Influence Nets in Financial Informatics: A Case Study of Pakistan

Haider

Shafqat²,

Haider

2012

CIT

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The paper presents an application of Influence Nets (INs) in the field of financial informatics. Influence Nets have primarily been used in war games to model effects based operations but, as shown in this paper, they can prove to be equally useful in other domains requiring decision making under uncertain situations. The primary advantage of INs lies in their ability to acquire knowledge from subject matter experts in problem domains that rely heavily on experts' opinion. A sample case study from the fields of economics and finance is presented in this paper. The case study models the choices faced by a developing country to recover her economy which is going through a difficult phase due to global financial crisis, internal law and order situation and political instability.

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Section: Tools To Gauge Impact Of Changes In Insmentioning

confidence: 99%

Using Influence Nets in Financial Informatics: A Case Study of Pakistan

Haider

Shafqat²,

Haider

2012

CIT

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“…BNs have trouble with the often intractable task of knowledge elicitation for conditional probabilities. To overcome this limitation, INs use causal strengths (CAST) logic as a knowledge acquisition interface for eliciting conditional probability tables [18].…”

Section: Influence Netmentioning

confidence: 99%

“…To help decide on the triggered nodes, as Haider [18] suggested, concepts could be arranged in rows according to their degrees of contribution to main effect values by examining one concept value's change to 1 from 0, 1 where the other concept values stay the same. To accomplish this, the sample scenario values are determined using Configuration 5 (without taking the possibility effect into consideration) for 800 days, and main effect values are obtained.…”

Section: Defining the Concept Contributions By Experimentsmentioning

confidence: 99%

A fuzzy cognitive map approach for effect-based operations: An illustrative case

Yaman

Polat

2009

Information Sciences

112

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“…[2] Wagenhals and his team [3] introduced the time structure in IN modeling, which is called timed influence nets. [4] TIN has been widely used for Effects-based Operations that mainly for the evaluation of operations.…”

Section: Introductionmentioning

confidence: 99%

Advanced Timed Influence Nets with Random Time Delay for Weapon System-of-systems Combat Networks

Fu¹,

Jiang²,

Yang³

2015

Advances in Intelligent Systems Research

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Abstract.To meet the needs of the joint operation under the uncertain information conditions, the description and effectiveness of weapon system-of-systems combat networks has been widely researched. The Timed influence nets(TIN) is an useful tool to describe the uncertain causal relations in the weapon system-of-systems combat networks and has been used for the effectiveness evaluation in alternative military actions. However the uncertain time delay effect is not well considered and computed in the TIN. In this paper, the Random Timed Influence Nets(RTIN) is proposed to introduce the random time delay in the TIN. First, it is introduced that the basic concepts and algorithms used in the RTIN model including the time delay parameter, the belief sequence and the belief-spread algorithm. And then an instance is given in this paper to demonstrate the RTIN modeling process and the result of effectiveness evaluation using the belief spread algorithm.

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A heuristic approach for best sets of actions determination in influence nets

Cited by 21 publications

References 4 publications

Using Influence Nets in Financial Informatics: A Case Study of Pakistan

Using Influence Nets in Financial Informatics: A Case Study of Pakistan

A fuzzy cognitive map approach for effect-based operations: An illustrative case

Advanced Timed Influence Nets with Random Time Delay for Weapon System-of-systems Combat Networks

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