Models Of Strategic Reasoning

Strategic behavior is the key to social interaction, from the ever-evolving world of living beings to the modern theatre of designed computational agents. Strategies can make or break participants’ aspirations, whether they are selling a house, playing the stock market, or working toward a treaty that limits global warming. This book aims at understanding the phenomenon of strategic behavior in its proper width and depth. A number of experts have combined forces in order to create a comparative view of the different frameworks for strategic reasoning in social interactions that have been developed in game theory, computer science, logic, linguistics, philosophy, and cognitive and social sciences. The chapters are organized in three topic-based sections, namely reasoning about games; formal frameworks for strategies; and strategies in social situations. The book concludes with a discussion on the future of logical studies of strategies.

Strategy Representation: An Analysis of Planning Knowledge describes an innovative methodology for investigating the conceptual structures that underlie human reasoning. This work explores the nature of planning strategies--the abstract patterns of planning behavior that people recognize across a broad range of real world situations. With a sense of scale that is rarely seen in the cognitive sciences, this book catalogs 372 strategies across 10 different planning domains: business practices, education, object counting, Machiavellian politics, warfare, scientific discovery, personal relationships, musical performance, and the anthropomorphic strategies of animal behavior and cellular immunology. Noting that strategies often serve as the basis for analogies that people draw across planning situations, this work attempts to explain these analogies by defining the fundamental concepts that are common across all instances of each strategy. By aggregating evidence from each of the strategy definitions provided, the representational requirements of strategic planning are identified. The important finding is that the concepts that underlie strategic reasoning are of incredibly broad scope. Nearly 1,000 fundamental concepts are identified, covering every existing area of knowledge representation research and many areas that have not yet been adequately formalized, particularly those related to common sense understanding of mental states and processes. An organization of these concepts into 48 fundamental areas of knowledge and representation is provided, offering an invaluable roadmap for progress within the field.

The European Summer School in Logic, Language and Information (ESSLLI) is organized every year by the Association for Logic, Language and Information (FoLLI) in different sites around Europe. The main focus of ESSLLI is on the interface between linguistics, logic and computation. ESSLLI offers foundational, introductory and advanced courses, as well as workshops, covering a wide variety of topics within the three areas of interest: Language and Computation, Language and Logic, and Logic and Computation. During two weeks, around 50 courses and 10 workshops are offered to the attendants, each of 1.5 hours per day during a five days week, with up to seven parallel sessions. ESSLLI also includes a student session (papers and posters by students only, 1.5 hour per day during the two weeks) and four evening lectures by senior scientists in the covered areas. The 6 course notes were carefully reviewed and selected. The papers are organized in topical sections on computational complexity, multi-agant systems, natural language processing, strategies in games and formal semantics.

"Strong reciprocity and other forms of cooperation with non-kin in large groups and in one-time social interactions is difficult to explain with traditional economic or with simple evolutionary accounts. Reciprocity can be costly, while in many instances earning little or no benefit to the individual or its kin. In Ultimatum Games, for example. humans tend in one-shot anonymous interactions towards equal distributions of goods at high individual cost, often encouraged through retributive actions that result in significant personal cost. In this research, an agent-based genetic algorithm model is used to show that in a game similar to the Ultimatum Game, and of which an Ultimatum Game could be interpreted as a subgame, but where the past history of an agent's retributive actions is visible to other agents, strategies exhibiting strong reciprocity can evolve. This model is notable for its conservatism; it presupposes no special features in the structure of the population, relies solely upon potential benefits to kin and offspring, and requires only punishment (and not also reward) as an explanation of the behavior. The model also is consistent with a number of findings on the nature of emotions and related forms of motivation."--Stinet.

This bk, which offers one of the 1st systematic attempts to discuss the role of strategies for deductive reasoning & brings together theoretical & empirical research, will be of interest to researchers/advanced students of cognitive psych.

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

This dynamic and beautifully written textbook takes a modern and innovative approach to strategy by placing technology at its heart, bridging the gap between general strategy texts and specialist technology and innovation literature. It addresses the challenges and opportunities presented to organisations by disruptive technological change and takes into account the navigation of uncertain business environments. In addition to examining more established concepts and theories, the text also explores new disruptive business models and non-traditional approaches to strategy development such as effectuation, the Business Model Canvas and prediction logic. This comprehensive and critical approach is supported by a rich assortment of practical examples and cases drawn from different sectors and a range of exciting companies from all over the world, helping students and practitioners to apply theory to practice. This will be an essential core text for modules on technology strategy and innovation at upper undergraduate, postgraduate and MBA levels, and invaluable reading for senior executives and aspiring managers who seek to understand how to implement strategy in a volatile disruptive environment.

FoLLI-LNCS is the publication platform for the Association of Logic, Language and Information (FoLLI, www.folli.org). The Association was founded in 1991 to advance research and education on the interface between logic, linguistics, computer science, and cognitive science. The FoLLI Publications on Logic, Language and Information aim to disseminate results of cutting-edge research and tutorial materials in these interdisciplinary areas. This LNCS volume is part of FoLLi book serie and contains the papers presented at the 5th International Workshop on Logic, Rationality and Interaction/ (LORI-V), held in October 2015 in Taipei, Taiwan. The topics covered in this program well represent the span and depth that hasby now become a trademark of the LORI workshop series, where logic interfaceswith disciplines as diverse as game theory and decision theory, philosophyand epistemology, linguistics, computer science and artificial intelligence.