This paper examines the interaction between internal and external information and the interplay between perceptual and cognitive processes in the Tic-Tac-Toe and its isomorphs. The experimental results show that different distributed representations can elicit different situational strategies, which are the determining factor affecting problem solving behavior. Planning has little effect in the...

Many different problems are called distributed or multiagent planning problems. Existing approaches each deal with only a subset of these problems. Which properties are essential in determining a solution method for multiagent planning problems? We argue that mainly the facts that communication is limited, agents have private goals, and the frequency of the dependencies between agents have a si...

Two experiments using two isomorphs of the Tower of Hanoi show that participants increase the amount of planning they do as they learn that it increases problem solving efficiency. In addition, competition among different approaches emerged as participants gained more experience with the task, with an optimal strategy gradually replacing a less effective, though easier one. It is hypothesized t...

This paper presents a complete and optimal framework for extending basic graph planning to operate in partitioned problem spaces. These spaces typically occur in systems that implement a hierarchy or contain data of various resolutions. An algorithm for the framework will be presented along with a proof of optimality. Finally, an example implementation for mobile robot path planning will be dis...

In this paper, we address the slot planning phase, in which the containers assigned to a container ship location have to be stowed, satisfying many conditions related to the way in which containers have to be stacked, the weight distribution and the specific conditions regulating the containers with dangerous products. In order to solve in an efficient way problems of realistic size, we have de...

In this paper we will document that real-life problem solving in complex situations demands both rational (scientific) and intuitive (artistic) thinking. First, the concepts of art and science will be discussed; differences and similarities will be enhanced. Thereafter the concept of group problem solving facilitation both as science and art will be presented. A case study related to examinatio...

In this paper a new method is introduced for path planning of an autonomous vehicle. In this method, the environment is considered cluttered and with some uncertainty sources. Thus, the state of detected object should be estimated using an optimal filter. To do so, the state distribution is assumed Gaussian. Thus the state vector is estimated by a Kalman filter at each time step. The estimation...

How does the development of expertise influence problem solving performance? Specifically, do characteristics of expert behavior such as attention to deep features while problem solving and planning solution strategies emerge simultaneously or sequentially? Further, is there evidence that conceptual understanding of the meaning behind calculations can be attributed to differences in problem sol...

For HTN planning, we formally characterize and classify four kinds of problem spaces in which each node represents a planning problem or subproblem. Two of the problem spaces are searched by current HTN planning algorithms; the other two problem spaces are new. This enables us to provide: • Sufficient (and in one case, necessary) conditions for finiteness of each kind of problem space. The cond...

in this paper, we consider a multi-site production planning problem subject to uncertainty in demand and workforce expenses. in our new mathematical model, we presented a production planning system considering failure in rework and breakdown. we also survey human workforce allocation and its expenses which are considered uncertain due to some tradeoff between company’s benefits and workforce :u...