Samir Okasha approaches evolutionary biology from a philosophical perspective in Agents and Goals in Evolution, analysing a mode of thinking in biology called agential thinking. He considers how the paradigm case involves treating an evolved organism as if it were an agent pursuing a goal, such as survival or reproduction, and seeing its phenotypic traits as strategies for achieving that goal or furthering its biological interests. As agential thinking deliberately transposes a set of concepts—goals, interests, strategies—from rational human agents and to the biological world more generally, Okasha's enquiry firstly looks at the justification for this: is it mere anthropomorphism, or does it play a genuine intellectual role in the science? From this central question, key points are considered such as: how do we identify the 'goal' that evolved organisms will behave as if they are trying to achieve? Can agential thinking ever be applied to groups rather than to individual organisms? And how does agential thinking relate to the controversies over fitness-maximization in evolutionary biology? In addition, Okasha examines the relation between the adaptive and the rational by considering whether organisms can validly be treated as agent-like. Should we expect their evolved behaviour to correspond with that of rational agents as codified in the theory of rational choice? If so, does this mean that the fitness-maximizing paradigm of the evolutionary biologist can be mapped directly to the utility-maximizing paradigm of the rational choice theorist? All of these important questions are engagingly raised and discussed at length.

A leading developmental psychologist proposes an evolutionary pathway to human psychological agency. Nature cannot build organisms biologically prepared for every contingency they might possibly encounter. Instead, Nature builds some organisms to function as feedback control systems that pursue goals, make informed behavioral decisions about how best to pursue those goals in the current situation, and then monitor behavioral execution for effectiveness. Nature builds psychological agents. In a bold new theoretical proposal, Michael Tomasello advances a typology of the main forms of psychological agency that emerged on the evolutionary pathway to human beings. Tomasello outlines four main types of psychological agency and describes them in evolutionary order of emergence. First was the goal-directed agency of ancient vertebrates, then came the intentional agency of ancient mammals, followed by the rational agency of ancient great apes, ending finally in the socially normative agency of ancient humans. Each new form of psychological organization represented increased complexity in the planning, decision-making, and executive control of behavior. Each also led to new types of experience of the environment and, in some cases, of the organism’s own psychological functioning, leading ultimately to humans’ experience of an objective and normative world that governs all of their thoughts and actions. Together, these proposals constitute a new theoretical framework that both broadens and deepens current approaches in evolutionary psychology.

Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.

This book constitutes the refereed proceedings of the 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, held in Guilin, China, in August 2006. The book presents 39 revised full papers and 57 revised short papers together with 4 invited talks, addressing subjects from theoretical and methodological issues to applications. Topics include agent models, agent architectures, agent-oriented software engineering, semantic Web service, collaboration, coordination and negotiation, and more.

Samir Okasha approaches evolutionary biology from a philosophical perspective in Agents and Goals in Evolution, analysing a mode of thinking in biology called agential thinking. He considers how the paradigm case involves treating an evolved organism as if it were an agent pursuing a goal, such as survival or reproduction, and seeing its phenotypic traits as strategies for achieving that goal or furthering its biological interests. As agential thinking deliberately transposes a set of concepts--goals, interests, strategies--from rational human agents and to the biological world more generally, Okasha's enquiry firstly looks at the justification for this: is it mere anthropomorphism, or does it play a genuine intellectual role in the science? From this central question, key points are considered such as: how do we identify the 'goal' that evolved organisms will behave as if they are trying to achieve? Can agential thinking ever be applied to groups rather than to individual organisms? And how does agential thinking relate to the controversies over fitness-maximization in evolutionary biology? In addition, Okasha examines the relation between the adaptive and the rational by considering whether organisms can validly be treated as agent-like. Should we expect their evolved behaviour to correspond with that of rational agents as codified in the theory of rational choice? If so, does this mean that the fitness-maximizing paradigm of the evolutionary biologist can be mapped directly to the utility-maximizing paradigm of the rational choice theorist? All of these important questions are engagingly raised and discussed at length.

This book is at the cutting edge of the ongoing ‘neo-Schumpeterian’ research program that investigates how economic growth and its fluctuation can be understood as the outcome of a historical process of economic evolution. Much of modern evolutionary economics has relied upon biological analogy, especially about natural selection. Although this is valid and useful, evolutionary economists have, increasingly, begun to build their analytical representations of economic evolution on understandings derived from complex systems science. In this book, the fact that economic systems are, necessarily, complex adaptive systems is explored, both theoretically and empirically, in a range of contexts. Throughout, there is a primary focus upon the interconnected processes of innovation and entrepreneurship, which are the ultimate sources of all economic growth. Twenty two chapters are provided by renowned experts in the related fields of evolutionary economics and the economics of innovation.

The leading edge of computer science research is notoriously ?ckle. New trends come and go with alarming and unfailing regularity. In such a rapidly changing ?eld, the fact that research interest in a subject lasts more than a year is worthy of note. The fact that, after ?ve years, interest not only remains, but actually continues to grow is highly unusual. As 1998 marked the ?fth birthday of the International Workshop on Agent Theories, Architectures, and Languages (ATAL), it seemed appropriate for the organizers of the original workshop to comment on this remarkable growth, and re ect on how the ?eld has developed and matured. The ?rst ATAL workshop was co-located with the Eleventh European Conference on Arti?cial Intelligence (ECAI-94), which was held in Amsterdam. The fact that we chose an AI conference to co-locate with is telling: at that time, we expected most researchers with an interest in agents to come from the AI community. The workshop, whichwasplannedoverthesummerof1993,attracted32submissions,andwasattended by 55 people.ATAL was the largest workshop at ECAI-94, and the clear enthusiasm on behalfofthecommunitymadethedecisiontoholdanotherATALworkshopsimple.The ATAL-94proceedingswereformallypublishedinJanuary1995underthetitleIntelligent Agents, and included an extensive review article, a glossary, a list of key agent systems, and — unusually for the proceedings of an academic workshop — a full subject index. Thehighscienti?candproductionvaluesembodiedbytheATAL-94proceedingsappear to have been recognized by the community, and resulted inATAL proceedings being the most successful sequence of books published in Springer-Verlag s Lecture Notes in Arti?cial Intelligence series.

This book presents the proceedings of the Eighth National Conference of the Italian Systems Society. The contributions underline the need for Systemics and Systems Science in order to address multiple, changing systems involving several coherent versions. The conference focused on identifying, discussing, and understanding possible interrelationships between fundamental theoretical advances in different disciplines. Given their scope, these proceedings represent a valuable asset for all researchers whose work involves multiple systems.

IDT (Intelligent Decision Technologies) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. It constitutes a great honor and pleasure for us to publish the works and new research results of scholars from the First KES International Symposium on Intelligent Decision Technologies (KES IDT’09), hosted and organized by University of Hyogo in conjunction with KES International (Himeji, Japan, April, 2009). The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Its topics included intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, genetic algorithms, expert systems, intelligent decision making support systems, information retrieval systems, geographic information systems, and knowledge management systems. These technologies have the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare, military applications, production, networks, traffic management, crisis response, and human interfaces.