A suicide bomber killed at least 10 people and wounded four on Wednesday in an attack on a bus carrying staff from an appeal court west of the Afghan capital, Kabul, officials said, and the Taliban claimed responsibility. The attack came on the same day the Taliban announced a new leader to succeed Mullah Akhtar Mansour, who was killed in a U.S. drone strike at the weekend. Taliban spokesman Zabihullah Mujahid said the attack on staff from the judicial system was in response to the Afghan government's decision earlier this month to execute six Taliban prisoners on death row. Other attacks would follow, he said. "We will continue on this path," he said in a statement.

This paper models a decision support system to predict the occurance of suicide attack in a given collection of cities. The system comprises two parts. First part analyzes and identifies the factors which affect the prediction. Admitting incomplete information and use of linguistic terms by experts, as two characteristic features of this peculiar prediction problem we exploit the Theory of Fuzzy Soft Sets. Hence the Part 2 of the model is an algorithm vz. FSP which takes the assessment of factors given in Part 1 as its input and produces a possibility profile of cities likely to receive the accident. The algorithm is of O(2^n) complexity. It has been illustrated by an example solved in detail. Simulation results for the algorithm have been presented which give insight into the strengths and weaknesses of FSP. Three different decision making measures have been simulated and compared in our discussion.

Conceptual Blending through the process of Double Scope Blending provides an account for human creativity. We show how computational creativity can be modeled after Double Scope Blending for machine generation of scenarios, stories, hypotheses, etc. This paper describes an application of this process to the generation of novel and creative scenarios in the maritime security domain.