Content Description #Includes bibliographical references and index.

Thirty entertaining, challenging mazes: 3-D constructions, directional arrows, designated stops, and more. From easy "No Brainers" to "Full Brain Overload," which might take hours to solve. Includes "hints section."

Conceptual ordering, spatial and social narrative are fundamental to the ways in which buildings are shaped, used and perceived. This intriguing book explores the ways in which these three dimensions interact in the design and life of buildings.

Unlock the secrets to creating random mazes! Whether you're a game developer, an algorithm connoisseur, or simply in search of a new puzzle, you're about to level up. Learn algorithms to randomly generate mazes in a variety of shapes, sizes, and dimensions. Bend them into Moebius strips, fold them into cubes, and wrap them around spheres. Stretch them into other dimensions, squeeze them into arbitrary outlines, and tile them in a dizzying variety of ways. From twelve little algorithms, you'll discover a vast reservoir of ideas and inspiration. From video games to movies, mazes are ubiquitous. Explore a dozen algorithms for generating these puzzles randomly, from Binary Tree to Eller's, each copiously illustrated and accompanied by working implementations in Ruby. You'll learn their pros and cons, and how to choose the right one for the job. You'll start by learning six maze algorithms and transition from making mazes on paper to writing programs that generate and draw them. You'll be introduced to Dijkstra's algorithm and see how it can help solve, analyze, and visualize mazes. Part 2 shows you how to constrain your mazes to different shapes and outlines, such as text, circles, hex and triangle grids, and more. You'll learn techniques for culling dead-ends, and for making your passages weave over and under each other. Part 3 looks at six more algorithms, taking it all to the next level. You'll learn how to build your mazes in multiple dimensions, and even on curved surfaces. Through it all, you'll discover yourself brimming with ideas, the best medicine for programmer's block, burn-out, and the grayest of days. By the time you're done, you'll be energized and full of maze-related possibilities! What You Need: The example code requires version 2 of the Ruby programming language. Some examples depend on the ChunkyPNG library to generate PNG images, and one chapter uses POV-Ray version 3.7 to render 3D graphics.

Since the publication of the second volume of Comparative Psychology by Warden, Warner, and Jenkins (1940), there has not been a comprehensive review of invertebrate learning capacities. Some high-quality reviews have appeared in various journals, texts, and symposia, but they have been, of necessity, incomplete and selective either in terms of the phyla covered or the phenomena which were reviewed. Although this lack has served as a stimulus for the present series, the primary justification is to be found in the resurgence of theoretical and empirical interests in learning capacities and mechanisms in simpler systems of widely different phylogenetic origin. Intensive research on the physiological basis of learning and memory clearly entails exploration of the correlations between levels of nervous system organization and be havioral plasticity. Furthermore, the presence of structural-functional differ entiation in ganglionated systems, the existence of giant, easily identifiable cells, and the reduced complexity of structure and behavior repertoires are among the advantages of the "simple systems" strategy which have caused many neuroscientists to abandon their cats, rats, and monkeys in favor of mollusks, leeches, planaria, crayfish, protozoa, and other invertebrate preparations. Behavioral research continues to reveal remarkable capacities in these simple organisms and encourages us to believe that the confluence of the invertebrate learning data with the more voluminous vertebrate litera ture will contribute substantially to the enrichment of all of the neurobe havioral sciences.