The paper is directed towards designing bandwidth efficient strategies for MAC layer multicast. Bandwidth efficiency of wireless multicast can be improved substantially by exploiting the fact that several receivers can be reached at the MAC layer by a single transmission. However, this feature can be effectively exploited only by resolving several decision problems and protocol challenges. The ...

A B S T R AC T Although intuitive processes are critical for effective strategic decision making, there is little in the way of applied research on the topic. Apart from many popularized treatments of intuition in the literature today, there are only a handful of serious scholarly works on the subject. The majority of them are essentially theoretical in nature; field research in management sett...

Proponents of unconscious-thought theory assert that letting the unconscious ‘‘mull it over’’ can enhance decisions. In a series of recent studies, researchers demonstrated that participants whose attention was focused on solving a complex problem (i.e., those using conscious thought) made poorer choices, decisions, and judgments than participants whose attention was distracted from the problem...

This paper proposes a simple analytical model called M time-scale Markov Decision Process (MMDP) for hierarchically structured sequential decision making processes, where decisions in each level in the M -level hierarchy are made in M different time-scales. In this model, the state space and the control space of each level in the hierarchy are non-overlapping with those of the other levels, res...

We address a problem of area protection in graph-based scenarios with multiple agents. The problem consists of two adversarial teams of agents that move in an undirected graph shared by both teams. Agents are placed in vertices of the graph; at most one agent can occupy a vertex; and they can move into adjacent vertices in a conflict free way. Teams have asymmetric goals: the aim of one team at...

For some computational problems (e.g., product configuration, planning, diagnosis, query answering, phylogeny reconstruction) computing a set of similar/diverse solutions may be desirable for better decision-making. With this motivation, we have studied several decision/optimization versions of this problem in the context of Answer Set Programming (ASP), analyzed their computational complexity,...

Linear bilevel programming is a decision making problem with a two-level decentralized organization. The leader is in the upper level and the follower, in the lower level. This study addresses linear bilevel multi-objective multi-follower programming (LB-MOMFP) problem, a special case of linear bilevel programming problems with one leader and multiple followers where each decision maker has sev...

The Traveling Salesman Problem (TSP) is a well-known combinatorial optimization problem. We are concerned here with online versions of this problem defined on metric spaces. One novel aspect in the paper is the introduction of a sound theoretical model to incorporate “yes-no” decisions on which requests to serve, together with an online strategy to visit the accepted requests. In order to do so...

Applying bleeding edge courses of action in advertising is always a case on the table of decision makers. In online case, lack of a practice to place right advertisement in a right time for the right user has been counted as biggest challenage. On the other hand, “ad clutter”, the key criticism on online advertising; is about to put online advertisement’s benefits away and annoying users more t...

Nowadays, with e-commerce developing by leaps and bounds, online reputation problem is one of the most important problems which need to be solved. The study of the impact of e-commerce participator on online reputation formation can provide decision basis for the parties and constraint their behavior. Through the definition of the e-commerce participator, studying e-commerce subject to find out...