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This book is the only account of what honeybees actually see. Bees detect some visual features such as edges and colours, but there is no sign that they reconstruct patterns or put together features to form objects. Bees detect motion but have no perception of what it is that moves, and certainly they do not recognize "things" by their shapes. Yet they clearly see well enough to fly and find food with a minute brain. Bee vision is therefore relevant to the construction of simple artificial visual systems, for example for mobile robots. The surprising conclusion is that bee vision is adapted to the recognition of places, not things. In this volume, Adrian Horridge also sets out the curious an...
Important breakthroughs have recently been made in our understanding of the cognitive and sensory abilities of pollinators: how pollinators perceive, memorise and react to floral signals and rewards; how they work flowers, move among inflorescences and transport pollen. These new findings have obvious implications for the evolution of floral display and diversity, but most existing publications are scattered across a wide range of journals in very different research traditions. This book brings together for the first time outstanding scholars from many different fields of pollination biology, integrating the work of neuroethologists and evolutionary ecologists to present a multi-disciplinary approach. Aimed at graduates and researchers of behavioural and pollination ecology, plant evolutionary biology and neuroethology, it will also be a useful source of information for anyone interested in a modern view of cognitive and sensory ecology, pollination and floral evolution.
This book links the molecular evolution of silk proteins to the evolution and behavioral ecology of web-spinning spiders and other arthropods. Craig's book draws together studies from biochemistry through molecular genetics, cellular physiology, ecology, and behavior to present an integrated understanding of an interesting biological system at the molecular and organizational levels.
Can we discover morality in nature? Flowers and Honeybees extends the considerable scientific knowledge of flowers and honeybees through a philosophical discussion of the origins of morality in nature. Flowering plants and honeybees form a social group where each requires the other. They do not intentionally harm each other, both reason, and they do not compete for commonly required resources. They also could not be more different. Flowering plants are rooted in the ground and have no brains. Mobile honeybees can communicate the location of flower resources to other workers. We can learn from a million-year-old social relationship how morality can be constructed and maintained over time.
This book is the only account of what the bee, as an example of an insect, actually detects with its eyes. Bees detect some visual features such as edges and colours, but there is no sign that they reconstruct patterns or put together features to form objects. Bees detect motion but have no perception of what it is that moves, and certainly they do not recognize "things" by their shapes. Yet they clearly see well enough to fly and find food with a minute brain. Bee vision is therefore relevant to the construction of simple artificial visual systems, for example for mobile robots. The surprising conclusion is that bee vision is adapted to the recognition of places, not things. In this volume,...
This accessible book explains the origins, evolution, and nature of intelligence, from single cells to human culture and cognition.
Most of us are aware of the hive mind-the power of bees as an amazing collective. But do we know how uniquely intelligent bees are as individuals? In The Mind of a Bee, Lars Chittka draws from decades of research, including his own pioneering work, to argue that bees have remarkable cognitive abilities.
This text brings to vision research a treatment different from that often found in books on the subject in its emphasis on nonlinear aspects of vision, from human perception to eye cells of the fly. There is considerable emphasis on mathematics, which forms not only models but the algorithms for processing data.